numpy实现简单的二层网络------前向和反向传播

会推导神经网络的前向和反向传播是深度学习的基础，也许大家在实验使用Tensorflow框架，只需要调用某一个损失函数，传入参数就可以得到损失，或者Mxnet框架，你都不需要调用任何函数，给个标志就可以了。但是，你真的会推导么，如果你不会，千万别说你正在学“深度学习”，由于时间问题，我没有太多的时间阐述基本原理，以及推导公式，加我QQ，我们可以详细的讨论，废话不多说，直接拷贝代码：

def background():
    """
        by: nxg
    """
    import numpy as np
    input = np.array([0.99, 0.01], dtype='float')
    weight_1 = np.array([[0.35, 0.55],
                         [0.90, 0.36]], dtype='float')
    weight_2 = np.array([[0.60, 0.77],
                         [0.96, 0.89]], dtype='float')
    bias = np.array([0.23, 0.79], dtype='float')
    target_output = np.array([0.1, 0.89], dtype='float')
    learning_rate = 0.5
    steps = 10001
    while steps > 0:
        steps -= 1
        # 正向传播
        # layer-1
        net_h1, net_h2 = np.dot(input, weight_1) + bias[0]  # 第一层的计算结果
        out_h1, out_h2 = [1 / (1 + np.exp(-net_h1)), 1 / (1 + np.exp(-net_h2))]  # sigmoid激活后的输出
        # layer-2
        layer_2_input = np.array([out_h1, out_h2], dtype='float')
        net_o1, net_o2 = np.dot(layer_2_input, weight_2) + bias[1]  # 第二层的计算结果
        out_o1, out_o2 = [1 / (1 + np.exp(-net_o1)), 1 / (1 + np.exp(-net_o2))]  # sigmoid激活后的输出
        # 计算梯度,反向传播
        total_loss = sum([pow(target_output-real_output, 2)/2 for target_output, real_output
                          in zip(target_output, [out_o1, out_o2])])
        print('网络的输出：step:%d loss=%f out_o1=%f out_o2=%f ' % (steps, total_loss, out_o1, out_o2))
        # gradient for layer-2
        gradient_w5 = -1 * (target_output[0] - out_o1) * out_o1 * (1 - out_o1) * out_h1
        gradient_w6 = -1 * (target_output[0] - out_o1) * out_o1 * (1 - out_o1) * out_h2
        gradient_w7 = -1 * (target_output[1] - out_o2) * out_o2 * (1 - out_o2) * out_h1
        gradient_w8 = -1 * (target_output[1] - out_o2) * out_o2 * (1 - out_o2) * out_h2

        # gradient for layer-1
        gradient_w1 = -1 * (target_output[0] - out_o1) * out_o1 * (1 - out_o1) * weight_2[0][0] * out_h1 * \
                      (1 - out_h1)*input[0] - (target_output[1] - out_o2) * out_o2 * (1 - out_o2) * weight_2[1][0] * \
                      out_h1 * (1 - out_h1)*input[0]

        gradient_w2 = -1 * (target_output[0] - out_o1) * out_o1 * (1 - out_o1) * weight_2[0][0] * out_h1 * \
                      (1 - out_h1) * input[1] - (target_output[1] - out_o2) * out_o2 * (1 - out_o2) * weight_2[1][0] * \
                      out_h1 * (1 - out_h1)*input[1]

        gradient_w3 = -1 * (target_output[0] - out_o1) * out_o1 * (1 - out_o1) * weight_2[0][1] * out_h2 * \
                      (1 - out_h2) * input[0] - (target_output[1] - out_o2) * out_o2 * (1 - out_o2) * weight_2[1][1] * \
                      out_h2 * (1 - out_h2)*input[0]

        gradient_w4 = -1 * (target_output[0] - out_o1) * out_o1 * (1 - out_o1) * weight_2[0][1] * out_h2 * \
                      (1 - out_h2) * input[1] - (target_output[1] - out_o2) * out_o2 * (1 - out_o2) * weight_2[1][1] * \
                      out_h2 * (1 - out_h2)*input[1]

        # update weight
        # layer -1
        weight_1[0][0] = weight_1[0][0] - learning_rate * gradient_w1
        weight_1[1][0] = weight_1[0][1] - learning_rate * gradient_w2
        weight_1[0][1] = weight_1[1][0] - learning_rate * gradient_w3
        weight_1[1][1] = weight_1[1][1] - learning_rate * gradient_w4

        # layer-2
        weight_2[0][0] = weight_2[0][0] - learning_rate * gradient_w5
        weight_2[1][0] = weight_2[0][1] - learning_rate * gradient_w6
        weight_2[0][1] = weight_2[1][0] - learning_rate * gradient_w7
        weight_2[1][1] = weight_2[1][1] - learning_rate * gradient_w8
        # print('weight_1:', weight_1)
        # print('weight_2:', weight_2)
        if steps == 1:
            print('网络的输出：out_o1=%f out_o2=%f loss=%f' % (out_o1, out_o2, total_loss))
            break

background()

实验结果：

网络的输出：step:10000 loss=0.290651 out_o1=0.862149 out_o2=0.869266
网络的输出：step:9999 loss=0.274318 out_o1=0.840335 out_o2=0.866760
网络的输出：step:9998 loss=0.269865 out_o1=0.834205 out_o2=0.864076
网络的输出：step:9997 loss=0.265266 out_o1=0.827812 out_o2=0.861333
网络的输出：step:9996 loss=0.260522 out_o1=0.821148 out_o2=0.858532
网络的输出：step:9995 loss=0.255635 out_o1=0.814208 out_o2=0.855674
网络的输出：step:9994 loss=0.250608 out_o1=0.806986 out_o2=0.852762
网络的输出：step:9993 loss=0.245444 out_o1=0.799480 out_o2=0.849797
网络的输出：step:9992 loss=0.240147 out_o1=0.791684 out_o2=0.846783
网络的输出：step:9991 loss=0.234724 out_o1=0.783598 out_o2=0.843721
网络的输出：step:9990 loss=0.229181 out_o1=0.775221 out_o2=0.840615
网络的输出：step:9989 loss=0.223527 out_o1=0.766554 out_o2=0.837469
网络的输出：step:9988 loss=0.217770 out_o1=0.757598 out_o2=0.834287
网络的输出：step:9987 loss=0.211921 out_o1=0.748359 out_o2=0.831073
网络的输出：step:9986 loss=0.205993 out_o1=0.738843 out_o2=0.827832
网络的输出：step:9985 loss=0.199997 out_o1=0.729058 out_o2=0.824571
网络的输出：step:9984 loss=0.193949 out_o1=0.719014 out_o2=0.821293
网络的输出：step:9983 loss=0.187864 out_o1=0.708723 out_o2=0.818006
网络的输出：step:9982 loss=0.181756 out_o1=0.698202 out_o2=0.814717
网络的输出：step:9981 loss=0.175644 out_o1=0.687465 out_o2=0.811431
网络的输出：step:9980 loss=0.169544 out_o1=0.676533 out_o2=0.808156
网络的输出：step:9979 loss=0.163475 out_o1=0.665428 out_o2=0.804901
网络的输出：step:9978 loss=0.157454 out_o1=0.654172 out_o2=0.801671
网络的输出：step:9977 loss=0.151499 out_o1=0.642791 out_o2=0.798476
网络的输出：step:9976 loss=0.145628 out_o1=0.631311 out_o2=0.795324
网络的输出：step:9975 loss=0.139857 out_o1=0.619762 out_o2=0.792222
网络的输出：step:9974 loss=0.134202 out_o1=0.608173 out_o2=0.789179
网络的输出：step:9973 loss=0.128679 out_o1=0.596573 out_o2=0.786202
网络的输出：step:9972 loss=0.123301 out_o1=0.584993 out_o2=0.783300
网络的输出：step:9971 loss=0.118081 out_o1=0.573462 out_o2=0.780479
网络的输出：step:9970 loss=0.113027 out_o1=0.562011 out_o2=0.777748
网络的输出：step:9969 loss=0.108150 out_o1=0.550668 out_o2=0.775113
网络的输出：step:9968 loss=0.103456 out_o1=0.539460 out_o2=0.772580
网络的输出：step:9967 loss=0.098950 out_o1=0.528413 out_o2=0.770154
网络的输出：step:9966 loss=0.094635 out_o1=0.517549 out_o2=0.767840
网络的输出：step:9965 loss=0.090512 out_o1=0.506890 out_o2=0.765643
网络的输出：step:9964 loss=0.086581 out_o1=0.496454 out_o2=0.763567
网络的输出：step:9963 loss=0.082839 out_o1=0.486258 out_o2=0.761613
网络的输出：step:9962 loss=0.079284 out_o1=0.476315 out_o2=0.759784
网络的输出：step:9961 loss=0.075912 out_o1=0.466635 out_o2=0.758081
网络的输出：step:9960 loss=0.072717 out_o1=0.457228 out_o2=0.756504
网络的输出：step:9959 loss=0.069692 out_o1=0.448100 out_o2=0.755053
网络的输出：step:9958 loss=0.066831 out_o1=0.439253 out_o2=0.753728
网络的输出：step:9957 loss=0.064128 out_o1=0.430691 out_o2=0.752527
网络的输出：step:9956 loss=0.061573 out_o1=0.422411 out_o2=0.751447
网络的输出：step:9955 loss=0.059160 out_o1=0.414414 out_o2=0.750487
网络的输出：step:9954 loss=0.056881 out_o1=0.406696 out_o2=0.749642
网络的输出：step:9953 loss=0.054729 out_o1=0.399251 out_o2=0.748911
网络的输出：step:9952 loss=0.052695 out_o1=0.392075 out_o2=0.748289
网络的输出：step:9951 loss=0.050773 out_o1=0.385162 out_o2=0.747773
网络的输出：step:9950 loss=0.048955 out_o1=0.378503 out_o2=0.747358
网络的输出：step:9949 loss=0.047236 out_o1=0.372092 out_o2=0.747040
网络的输出：step:9948 loss=0.045608 out_o1=0.365921 out_o2=0.746815
网络的输出：step:9947 loss=0.044065 out_o1=0.359981 out_o2=0.746679
网络的输出：step:9946 loss=0.042603 out_o1=0.354264 out_o2=0.746627
网络的输出：step:9945 loss=0.041215 out_o1=0.348761 out_o2=0.746654
网络的输出：step:9944 loss=0.039897 out_o1=0.343464 out_o2=0.746756
网络的输出：step:9943 loss=0.038643 out_o1=0.338364 out_o2=0.746930
网络的输出：step:9942 loss=0.037451 out_o1=0.333454 out_o2=0.747171
网络的输出：step:9941 loss=0.036314 out_o1=0.328725 out_o2=0.747474
网络的输出：step:9940 loss=0.035231 out_o1=0.324169 out_o2=0.747836
网络的输出：step:9939 loss=0.034198 out_o1=0.319779 out_o2=0.748252
网络的输出：step:9938 loss=0.033210 out_o1=0.315547 out_o2=0.748720
网络的输出：step:9937 loss=0.032266 out_o1=0.311466 out_o2=0.749236
网络的输出：step:9936 loss=0.031363 out_o1=0.307529 out_o2=0.749796
网络的输出：step:9935 loss=0.030498 out_o1=0.303730 out_o2=0.750396
网络的输出：step:9934 loss=0.029668 out_o1=0.300062 out_o2=0.751034
网络的输出：step:9933 loss=0.028872 out_o1=0.296520 out_o2=0.751707
网络的输出：step:9932 loss=0.028108 out_o1=0.293097 out_o2=0.752412
网络的输出：step:9931 loss=0.027374 out_o1=0.289788 out_o2=0.753146
网络的输出：step:9930 loss=0.026668 out_o1=0.286588 out_o2=0.753907
网络的输出：step:9929 loss=0.025989 out_o1=0.283492 out_o2=0.754692
网络的输出：step:9928 loss=0.025335 out_o1=0.280495 out_o2=0.755498
网络的输出：step:9927 loss=0.024704 out_o1=0.277592 out_o2=0.756325
网络的输出：step:9926 loss=0.024096 out_o1=0.274780 out_o2=0.757169
网络的输出：step:9925 loss=0.023509 out_o1=0.272054 out_o2=0.758029
网络的输出：step:9924 loss=0.022943 out_o1=0.269411 out_o2=0.758904
网络的输出：step:9923 loss=0.022396 out_o1=0.266847 out_o2=0.759790
网络的输出：step:9922 loss=0.021868 out_o1=0.264358 out_o2=0.760688
网络的输出：step:9921 loss=0.021356 out_o1=0.261941 out_o2=0.761594
网络的输出：step:9920 loss=0.020862 out_o1=0.259593 out_o2=0.762509
网络的输出：step:9919 loss=0.020383 out_o1=0.257311 out_o2=0.763430
网络的输出：step:9918 loss=0.019920 out_o1=0.255093 out_o2=0.764357
网络的输出：step:9917 loss=0.019471 out_o1=0.252935 out_o2=0.765288
网络的输出：step:9916 loss=0.019036 out_o1=0.250835 out_o2=0.766223
网络的输出：step:9915 loss=0.018614 out_o1=0.248791 out_o2=0.767160
网络的输出：step:9914 loss=0.018205 out_o1=0.246801 out_o2=0.768098
网络的输出：step:9913 loss=0.017808 out_o1=0.244861 out_o2=0.769037
网络的输出：step:9912 loss=0.017423 out_o1=0.242971 out_o2=0.769975
网络的输出：step:9911 loss=0.017049 out_o1=0.241129 out_o2=0.770913
网络的输出：step:9910 loss=0.016686 out_o1=0.239332 out_o2=0.771850
网络的输出：step:9909 loss=0.016334 out_o1=0.237578 out_o2=0.772784
网络的输出：step:9908 loss=0.015991 out_o1=0.235867 out_o2=0.773715
网络的输出：step:9907 loss=0.015658 out_o1=0.234196 out_o2=0.774644
网络的输出：step:9906 loss=0.015334 out_o1=0.232564 out_o2=0.775568
网络的输出：step:9905 loss=0.015019 out_o1=0.230970 out_o2=0.776489
网络的输出：step:9904 loss=0.014713 out_o1=0.229412 out_o2=0.777405
网络的输出：step:9903 loss=0.014415 out_o1=0.227889 out_o2=0.778316
网络的输出：step:9902 loss=0.014124 out_o1=0.226400 out_o2=0.779222
网络的输出：step:9901 loss=0.013842 out_o1=0.224943 out_o2=0.780122
网络的输出：step:9900 loss=0.013567 out_o1=0.223518 out_o2=0.781017
网络的输出：step:9899 loss=0.013299 out_o1=0.222122 out_o2=0.781905
网络的输出：step:9898 loss=0.013038 out_o1=0.220756 out_o2=0.782788
网络的输出：step:9897 loss=0.012784 out_o1=0.219419 out_o2=0.783664
网络的输出：step:9896 loss=0.012536 out_o1=0.218109 out_o2=0.784533
网络的输出：step:9895 loss=0.012295 out_o1=0.216825 out_o2=0.785395
网络的输出：step:9894 loss=0.012060 out_o1=0.215567 out_o2=0.786251
网络的输出：step:9893 loss=0.011830 out_o1=0.214333 out_o2=0.787099
网络的输出：step:9892 loss=0.011607 out_o1=0.213124 out_o2=0.787941
网络的输出：step:9891 loss=0.011388 out_o1=0.211938 out_o2=0.788775
网络的输出：step:9890 loss=0.011175 out_o1=0.210774 out_o2=0.789601
网络的输出：step:9889 loss=0.010968 out_o1=0.209633 out_o2=0.790421
网络的输出：step:9888 loss=0.010765 out_o1=0.208513 out_o2=0.791233
网络的输出：step:9887 loss=0.010567 out_o1=0.207413 out_o2=0.792037
网络的输出：step:9886 loss=0.010374 out_o1=0.206333 out_o2=0.792834
网络的输出：step:9885 loss=0.010185 out_o1=0.205273 out_o2=0.793624
网络的输出：step:9884 loss=0.010001 out_o1=0.204231 out_o2=0.794405
网络的输出：step:9883 loss=0.009821 out_o1=0.203208 out_o2=0.795180
网络的输出：step:9882 loss=0.009646 out_o1=0.202203 out_o2=0.795947
网络的输出：step:9881 loss=0.009474 out_o1=0.201215 out_o2=0.796706
网络的输出：step:9880 loss=0.009306 out_o1=0.200244 out_o2=0.797458
网络的输出：step:9879 loss=0.009143 out_o1=0.199289 out_o2=0.798202
网络的输出：step:9878 loss=0.008982 out_o1=0.198350 out_o2=0.798938
网络的输出：step:9877 loss=0.008826 out_o1=0.197427 out_o2=0.799668
网络的输出：step:9876 loss=0.008673 out_o1=0.196518 out_o2=0.800390
网络的输出：step:9875 loss=0.008523 out_o1=0.195625 out_o2=0.801104
网络的输出：step:9874 loss=0.008377 out_o1=0.194746 out_o2=0.801811
网络的输出：step:9873 loss=0.008234 out_o1=0.193881 out_o2=0.802511
网络的输出：step:9872 loss=0.008094 out_o1=0.193029 out_o2=0.803204
网络的输出：step:9871 loss=0.007957 out_o1=0.192191 out_o2=0.803889
网络的输出：step:9870 loss=0.007823 out_o1=0.191366 out_o2=0.804568
网络的输出：step:9869 loss=0.007692 out_o1=0.190553 out_o2=0.805239
网络的输出：step:9868 loss=0.007564 out_o1=0.189753 out_o2=0.805903
网络的输出：step:9867 loss=0.007438 out_o1=0.188965 out_o2=0.806560
网络的输出：step:9866 loss=0.007316 out_o1=0.188188 out_o2=0.807211
网络的输出：step:9865 loss=0.007195 out_o1=0.187423 out_o2=0.807855
网络的输出：step:9864 loss=0.007078 out_o1=0.186670 out_o2=0.808491
网络的输出：step:9863 loss=0.006962 out_o1=0.185927 out_o2=0.809122
网络的输出：step:9862 loss=0.006850 out_o1=0.185195 out_o2=0.809745
网络的输出：step:9861 loss=0.006739 out_o1=0.184473 out_o2=0.810362
网络的输出：step:9860 loss=0.006631 out_o1=0.183762 out_o2=0.810972
网络的输出：step:9859 loss=0.006525 out_o1=0.183060 out_o2=0.811577
网络的输出：step:9858 loss=0.006421 out_o1=0.182369 out_o2=0.812174
网络的输出：step:9857 loss=0.006319 out_o1=0.181687 out_o2=0.812766
网络的输出：step:9856 loss=0.006219 out_o1=0.181014 out_o2=0.813351
网络的输出：step:9855 loss=0.006121 out_o1=0.180351 out_o2=0.813930
网络的输出：step:9854 loss=0.006026 out_o1=0.179697 out_o2=0.814503
网络的输出：step:9853 loss=0.005932 out_o1=0.179051 out_o2=0.815070
网络的输出：step:9852 loss=0.005840 out_o1=0.178414 out_o2=0.815631
网络的输出：step:9851 loss=0.005750 out_o1=0.177785 out_o2=0.816186
网络的输出：step:9850 loss=0.005661 out_o1=0.177165 out_o2=0.816735
网络的输出：step:9849 loss=0.005574 out_o1=0.176553 out_o2=0.817279
网络的输出：step:9848 loss=0.005489 out_o1=0.175948 out_o2=0.817817
网络的输出：step:9847 loss=0.005406 out_o1=0.175352 out_o2=0.818349
网络的输出：step:9846 loss=0.005324 out_o1=0.174763 out_o2=0.818876
网络的输出：step:9845 loss=0.005244 out_o1=0.174181 out_o2=0.819398
网络的输出：step:9844 loss=0.005165 out_o1=0.173607 out_o2=0.819914
网络的输出：step:9843 loss=0.005088 out_o1=0.173040 out_o2=0.820424
网络的输出：step:9842 loss=0.005012 out_o1=0.172480 out_o2=0.820930
网络的输出：step:9841 loss=0.004938 out_o1=0.171927 out_o2=0.821430
网络的输出：step:9840 loss=0.004865 out_o1=0.171381 out_o2=0.821925
网络的输出：step:9839 loss=0.004793 out_o1=0.170842 out_o2=0.822415
网络的输出：step:9838 loss=0.004723 out_o1=0.170309 out_o2=0.822900
网络的输出：step:9837 loss=0.004654 out_o1=0.169782 out_o2=0.823381
网络的输出：step:9836 loss=0.004586 out_o1=0.169262 out_o2=0.823856
网络的输出：step:9835 loss=0.004520 out_o1=0.168747 out_o2=0.824326
网络的输出：step:9834 loss=0.004454 out_o1=0.168239 out_o2=0.824792
网络的输出：step:9833 loss=0.004390 out_o1=0.167737 out_o2=0.825253
网络的输出：step:9832 loss=0.004327 out_o1=0.167241 out_o2=0.825709
网络的输出：step:9831 loss=0.004266 out_o1=0.166750 out_o2=0.826161
网络的输出：step:9830 loss=0.004205 out_o1=0.166265 out_o2=0.826608
网络的输出：step:9829 loss=0.004145 out_o1=0.165786 out_o2=0.827051
网络的输出：step:9828 loss=0.004087 out_o1=0.165312 out_o2=0.827489
网络的输出：step:9827 loss=0.004029 out_o1=0.164843 out_o2=0.827924
网络的输出：step:9826 loss=0.003973 out_o1=0.164380 out_o2=0.828353
网络的输出：step:9825 loss=0.003917 out_o1=0.163922 out_o2=0.828779
网络的输出：step:9824 loss=0.003862 out_o1=0.163469 out_o2=0.829200
网络的输出：step:9823 loss=0.003809 out_o1=0.163021 out_o2=0.829617
网络的输出：step:9822 loss=0.003756 out_o1=0.162578 out_o2=0.830031
网络的输出：step:9821 loss=0.003704 out_o1=0.162140 out_o2=0.830440
网络的输出：step:9820 loss=0.003653 out_o1=0.161706 out_o2=0.830845
网络的输出：step:9819 loss=0.003603 out_o1=0.161277 out_o2=0.831246
网络的输出：step:9818 loss=0.003554 out_o1=0.160853 out_o2=0.831643
网络的输出：step:9817 loss=0.003506 out_o1=0.160433 out_o2=0.832037
网络的输出：step:9816 loss=0.003458 out_o1=0.160018 out_o2=0.832427
网络的输出：step:9815 loss=0.003412 out_o1=0.159607 out_o2=0.832813
网络的输出：step:9814 loss=0.003366 out_o1=0.159201 out_o2=0.833195
网络的输出：step:9813 loss=0.003321 out_o1=0.158798 out_o2=0.833574
网络的输出：step:9812 loss=0.003276 out_o1=0.158400 out_o2=0.833949
网络的输出：step:9811 loss=0.003232 out_o1=0.158006 out_o2=0.834320
网络的输出：step:9810 loss=0.003190 out_o1=0.157617 out_o2=0.834688
网络的输出：step:9809 loss=0.003147 out_o1=0.157231 out_o2=0.835053
网络的输出：step:9808 loss=0.003106 out_o1=0.156849 out_o2=0.835414
网络的输出：step:9807 loss=0.003065 out_o1=0.156471 out_o2=0.835772
网络的输出：step:9806 loss=0.003025 out_o1=0.156096 out_o2=0.836127
网络的输出：step:9805 loss=0.002985 out_o1=0.155726 out_o2=0.836478
网络的输出：step:9804 loss=0.002946 out_o1=0.155359 out_o2=0.836826
网络的输出：step:9803 loss=0.002908 out_o1=0.154996 out_o2=0.837171
网络的输出：step:9802 loss=0.002870 out_o1=0.154636 out_o2=0.837512
网络的输出：step:9801 loss=0.002833 out_o1=0.154280 out_o2=0.837851
网络的输出：step:9800 loss=0.002796 out_o1=0.153928 out_o2=0.838186
网络的输出：step:9799 loss=0.002761 out_o1=0.153579 out_o2=0.838518
网络的输出：step:9798 loss=0.002725 out_o1=0.153233 out_o2=0.838848
网络的输出：step:9797 loss=0.002690 out_o1=0.152891 out_o2=0.839174
网络的输出：step:9796 loss=0.002656 out_o1=0.152552 out_o2=0.839497
网络的输出：step:9795 loss=0.002622 out_o1=0.152216 out_o2=0.839818
网络的输出：step:9794 loss=0.002589 out_o1=0.151883 out_o2=0.840135
网络的输出：step:9793 loss=0.002556 out_o1=0.151554 out_o2=0.840450
网络的输出：step:9792 loss=0.002524 out_o1=0.151227 out_o2=0.840762
网络的输出：step:9791 loss=0.002493 out_o1=0.150904 out_o2=0.841071
网络的输出：step:9790 loss=0.002461 out_o1=0.150584 out_o2=0.841378
网络的输出：step:9789 loss=0.002431 out_o1=0.150267 out_o2=0.841682
网络的输出：step:9788 loss=0.002400 out_o1=0.149952 out_o2=0.841983
网络的输出：step:9787 loss=0.002371 out_o1=0.149641 out_o2=0.842281
网络的输出：step:9786 loss=0.002341 out_o1=0.149332 out_o2=0.842577
网络的输出：step:9785 loss=0.002312 out_o1=0.149027 out_o2=0.842870
网络的输出：step:9784 loss=0.002284 out_o1=0.148724 out_o2=0.843161
网络的输出：step:9783 loss=0.002256 out_o1=0.148423 out_o2=0.843449
网络的输出：step:9782 loss=0.002228 out_o1=0.148126 out_o2=0.843735
网络的输出：step:9781 loss=0.002201 out_o1=0.147831 out_o2=0.844018
网络的输出：step:9780 loss=0.002174 out_o1=0.147539 out_o2=0.844299
网络的输出：step:9779 loss=0.002148 out_o1=0.147250 out_o2=0.844578
网络的输出：step:9778 loss=0.002122 out_o1=0.146963 out_o2=0.844854
网络的输出：step:9777 loss=0.002096 out_o1=0.146678 out_o2=0.845127
网络的输出：step:9776 loss=0.002071 out_o1=0.146396 out_o2=0.845399
网络的输出：step:9775 loss=0.002046 out_o1=0.146117 out_o2=0.845668
网络的输出：step:9774 loss=0.002022 out_o1=0.145840 out_o2=0.845935
网络的输出：step:9773 loss=0.001997 out_o1=0.145565 out_o2=0.846200
网络的输出：step:9772 loss=0.001974 out_o1=0.145293 out_o2=0.846462
网络的输出：step:9771 loss=0.001950 out_o1=0.145023 out_o2=0.846722
网络的输出：step:9770 loss=0.001927 out_o1=0.144756 out_o2=0.846980
网络的输出：step:9769 loss=0.001904 out_o1=0.144491 out_o2=0.847236
网络的输出：step:9768 loss=0.001882 out_o1=0.144228 out_o2=0.847490
网络的输出：step:9767 loss=0.001859 out_o1=0.143967 out_o2=0.847742
网络的输出：step:9766 loss=0.001838 out_o1=0.143709 out_o2=0.847991
网络的输出：step:9765 loss=0.001816 out_o1=0.143452 out_o2=0.848239
网络的输出：step:9764 loss=0.001795 out_o1=0.143198 out_o2=0.848485
网络的输出：step:9763 loss=0.001774 out_o1=0.142946 out_o2=0.848728
网络的输出：step:9762 loss=0.001753 out_o1=0.142696 out_o2=0.848970
网络的输出：step:9761 loss=0.001733 out_o1=0.142448 out_o2=0.849210
网络的输出：step:9760 loss=0.001713 out_o1=0.142203 out_o2=0.849447
网络的输出：step:9759 loss=0.001693 out_o1=0.141959 out_o2=0.849683
网络的输出：step:9758 loss=0.001673 out_o1=0.141717 out_o2=0.849917
网络的输出：step:9757 loss=0.001654 out_o1=0.141477 out_o2=0.850149
网络的输出：step:9756 loss=0.001635 out_o1=0.141240 out_o2=0.850380
网络的输出：step:9755 loss=0.001617 out_o1=0.141004 out_o2=0.850608
网络的输出：step:9754 loss=0.001598 out_o1=0.140770 out_o2=0.850835
网络的输出：step:9753 loss=0.001580 out_o1=0.140538 out_o2=0.851059
网络的输出：step:9752 loss=0.001562 out_o1=0.140308 out_o2=0.851283
网络的输出：step:9751 loss=0.001544 out_o1=0.140079 out_o2=0.851504
网络的输出：step:9750 loss=0.001527 out_o1=0.139853 out_o2=0.851723
网络的输出：step:9749 loss=0.001509 out_o1=0.139628 out_o2=0.851941
网络的输出：step:9748 loss=0.001492 out_o1=0.139405 out_o2=0.852157
网络的输出：step:9747 loss=0.001476 out_o1=0.139184 out_o2=0.852372
网络的输出：step:9746 loss=0.001459 out_o1=0.138965 out_o2=0.852585
网络的输出：step:9745 loss=0.001443 out_o1=0.138747 out_o2=0.852796
网络的输出：step:9744 loss=0.001427 out_o1=0.138531 out_o2=0.853006
网络的输出：step:9743 loss=0.001411 out_o1=0.138317 out_o2=0.853213
网络的输出：step:9742 loss=0.001395 out_o1=0.138104 out_o2=0.853420
网络的输出：step:9741 loss=0.001380 out_o1=0.137893 out_o2=0.853625
网络的输出：step:9740 loss=0.001364 out_o1=0.137684 out_o2=0.853828
网络的输出：step:9739 loss=0.001349 out_o1=0.137476 out_o2=0.854030
网络的输出：step:9738 loss=0.001334 out_o1=0.137270 out_o2=0.854230
网络的输出：step:9737 loss=0.001320 out_o1=0.137065 out_o2=0.854428
网络的输出：step:9736 loss=0.001305 out_o1=0.136862 out_o2=0.854626
网络的输出：step:9735 loss=0.001291 out_o1=0.136661 out_o2=0.854821
网络的输出：step:9734 loss=0.001277 out_o1=0.136461 out_o2=0.855016
网络的输出：step:9733 loss=0.001263 out_o1=0.136262 out_o2=0.855208
网络的输出：step:9732 loss=0.001249 out_o1=0.136066 out_o2=0.855400
网络的输出：step:9731 loss=0.001235 out_o1=0.135870 out_o2=0.855590
网络的输出：step:9730 loss=0.001222 out_o1=0.135676 out_o2=0.855778
网络的输出：step:9729 loss=0.001209 out_o1=0.135484 out_o2=0.855965
网络的输出：step:9728 loss=0.001196 out_o1=0.135293 out_o2=0.856151
网络的输出：step:9727 loss=0.001183 out_o1=0.135103 out_o2=0.856335
网络的输出：step:9726 loss=0.001170 out_o1=0.134915 out_o2=0.856518
网络的输出：step:9725 loss=0.001157 out_o1=0.134728 out_o2=0.856700
网络的输出：step:9724 loss=0.001145 out_o1=0.134542 out_o2=0.856881
网络的输出：step:9723 loss=0.001133 out_o1=0.134358 out_o2=0.857060
网络的输出：step:9722 loss=0.001121 out_o1=0.134175 out_o2=0.857237
网络的输出：step:9721 loss=0.001109 out_o1=0.133994 out_o2=0.857414
网络的输出：step:9720 loss=0.001097 out_o1=0.133814 out_o2=0.857589
网络的输出：step:9719 loss=0.001085 out_o1=0.133635 out_o2=0.857763
网络的输出：step:9718 loss=0.001074 out_o1=0.133457 out_o2=0.857936
网络的输出：step:9717 loss=0.001062 out_o1=0.133281 out_o2=0.858107
网络的输出：step:9716 loss=0.001051 out_o1=0.133106 out_o2=0.858278
网络的输出：step:9715 loss=0.001040 out_o1=0.132932 out_o2=0.858447
网络的输出：step:9714 loss=0.001029 out_o1=0.132760 out_o2=0.858615
网络的输出：step:9713 loss=0.001018 out_o1=0.132588 out_o2=0.858781
网络的输出：step:9712 loss=0.001008 out_o1=0.132418 out_o2=0.858947
网络的输出：step:9711 loss=0.000997 out_o1=0.132249 out_o2=0.859111
网络的输出：step:9710 loss=0.000987 out_o1=0.132082 out_o2=0.859274
网络的输出：step:9709 loss=0.000976 out_o1=0.131915 out_o2=0.859436
网络的输出：step:9708 loss=0.000966 out_o1=0.131750 out_o2=0.859597
网络的输出：step:9707 loss=0.000956 out_o1=0.131586 out_o2=0.859757
网络的输出：step:9706 loss=0.000946 out_o1=0.131422 out_o2=0.859916
网络的输出：step:9705 loss=0.000936 out_o1=0.131261 out_o2=0.860073
网络的输出：step:9704 loss=0.000927 out_o1=0.131100 out_o2=0.860230
网络的输出：step:9703 loss=0.000917 out_o1=0.130940 out_o2=0.860385
网络的输出：step:9702 loss=0.000908 out_o1=0.130781 out_o2=0.860540
网络的输出：step:9701 loss=0.000898 out_o1=0.130624 out_o2=0.860693
网络的输出：step:9700 loss=0.000889 out_o1=0.130468 out_o2=0.860845
网络的输出：step:9699 loss=0.000880 out_o1=0.130312 out_o2=0.860996
网络的输出：step:9698 loss=0.000871 out_o1=0.130158 out_o2=0.861147
网络的输出：step:9697 loss=0.000862 out_o1=0.130005 out_o2=0.861296
网络的输出：step:9696 loss=0.000853 out_o1=0.129853 out_o2=0.861444
网络的输出：step:9695 loss=0.000845 out_o1=0.129701 out_o2=0.861591
网络的输出：step:9694 loss=0.000836 out_o1=0.129551 out_o2=0.861737
网络的输出：step:9693 loss=0.000828 out_o1=0.129402 out_o2=0.861882
网络的输出：step:9692 loss=0.000819 out_o1=0.129254 out_o2=0.862026
网络的输出：step:9691 loss=0.000811 out_o1=0.129107 out_o2=0.862170
网络的输出：step:9690 loss=0.000803 out_o1=0.128961 out_o2=0.862312
网络的输出：step:9689 loss=0.000795 out_o1=0.128815 out_o2=0.862453
网络的输出：step:9688 loss=0.000787 out_o1=0.128671 out_o2=0.862594
网络的输出：step:9687 loss=0.000779 out_o1=0.128528 out_o2=0.862733
网络的输出：step:9686 loss=0.000771 out_o1=0.128386 out_o2=0.862872
网络的输出：step:9685 loss=0.000763 out_o1=0.128244 out_o2=0.863009
网络的输出：step:9684 loss=0.000755 out_o1=0.128104 out_o2=0.863146
网络的输出：step:9683 loss=0.000748 out_o1=0.127964 out_o2=0.863282
网络的输出：step:9682 loss=0.000740 out_o1=0.127826 out_o2=0.863417
网络的输出：step:9681 loss=0.000733 out_o1=0.127688 out_o2=0.863551
网络的输出：step:9680 loss=0.000726 out_o1=0.127551 out_o2=0.863684
网络的输出：step:9679 loss=0.000719 out_o1=0.127415 out_o2=0.863816
网络的输出：step:9678 loss=0.000711 out_o1=0.127280 out_o2=0.863948
网络的输出：step:9677 loss=0.000704 out_o1=0.127146 out_o2=0.864078
网络的输出：step:9676 loss=0.000697 out_o1=0.127013 out_o2=0.864208
网络的输出：step:9675 loss=0.000691 out_o1=0.126880 out_o2=0.864337
网络的输出：step:9674 loss=0.000684 out_o1=0.126749 out_o2=0.864465
网络的输出：step:9673 loss=0.000677 out_o1=0.126618 out_o2=0.864592
网络的输出：step:9672 loss=0.000670 out_o1=0.126488 out_o2=0.864718
网络的输出：step:9671 loss=0.000664 out_o1=0.126359 out_o2=0.864844
网络的输出：step:9670 loss=0.000657 out_o1=0.126230 out_o2=0.864969
网络的输出：step:9669 loss=0.000651 out_o1=0.126103 out_o2=0.865093
网络的输出：step:9668 loss=0.000645 out_o1=0.125976 out_o2=0.865216
网络的输出：step:9667 loss=0.000638 out_o1=0.125850 out_o2=0.865339
网络的输出：step:9666 loss=0.000632 out_o1=0.125725 out_o2=0.865460
网络的输出：step:9665 loss=0.000626 out_o1=0.125601 out_o2=0.865581
网络的输出：step:9664 loss=0.000620 out_o1=0.125478 out_o2=0.865701
网络的输出：step:9663 loss=0.000614 out_o1=0.125355 out_o2=0.865821
网络的输出：step:9662 loss=0.000608 out_o1=0.125233 out_o2=0.865939
网络的输出：step:9661 loss=0.000602 out_o1=0.125112 out_o2=0.866057
网络的输出：step:9660 loss=0.000596 out_o1=0.124991 out_o2=0.866174
网络的输出：step:9659 loss=0.000590 out_o1=0.124872 out_o2=0.866291
网络的输出：step:9658 loss=0.000585 out_o1=0.124753 out_o2=0.866406
网络的输出：step:9657 loss=0.000579 out_o1=0.124634 out_o2=0.866521
网络的输出：step:9656 loss=0.000573 out_o1=0.124517 out_o2=0.866636
网络的输出：step:9655 loss=0.000568 out_o1=0.124400 out_o2=0.866749
网络的输出：step:9654 loss=0.000563 out_o1=0.124284 out_o2=0.866862
网络的输出：step:9653 loss=0.000557 out_o1=0.124169 out_o2=0.866974
网络的输出：step:9652 loss=0.000552 out_o1=0.124054 out_o2=0.867086
网络的输出：step:9651 loss=0.000547 out_o1=0.123940 out_o2=0.867197
网络的输出：step:9650 loss=0.000541 out_o1=0.123827 out_o2=0.867307
网络的输出：step:9649 loss=0.000536 out_o1=0.123714 out_o2=0.867416
网络的输出：step:9648 loss=0.000531 out_o1=0.123602 out_o2=0.867525
网络的输出：step:9647 loss=0.000526 out_o1=0.123491 out_o2=0.867633
网络的输出：step:9646 loss=0.000521 out_o1=0.123380 out_o2=0.867740
网络的输出：step:9645 loss=0.000516 out_o1=0.123270 out_o2=0.867847
网络的输出：step:9644 loss=0.000511 out_o1=0.123161 out_o2=0.867953
网络的输出：step:9643 loss=0.000506 out_o1=0.123053 out_o2=0.868059
网络的输出：step:9642 loss=0.000502 out_o1=0.122945 out_o2=0.868164
网络的输出：step:9641 loss=0.000497 out_o1=0.122837 out_o2=0.868268
网络的输出：step:9640 loss=0.000492 out_o1=0.122731 out_o2=0.868372
网络的输出：step:9639 loss=0.000488 out_o1=0.122625 out_o2=0.868475
网络的输出：step:9638 loss=0.000483 out_o1=0.122519 out_o2=0.868577
网络的输出：step:9637 loss=0.000479 out_o1=0.122414 out_o2=0.868679
网络的输出：step:9636 loss=0.000474 out_o1=0.122310 out_o2=0.868780
网络的输出：step:9635 loss=0.000470 out_o1=0.122207 out_o2=0.868881
网络的输出：step:9634 loss=0.000465 out_o1=0.122104 out_o2=0.868980
网络的输出：step:9633 loss=0.000461 out_o1=0.122002 out_o2=0.869080
网络的输出：step:9632 loss=0.000457 out_o1=0.121900 out_o2=0.869179
网络的输出：step:9631 loss=0.000452 out_o1=0.121799 out_o2=0.869277
网络的输出：step:9630 loss=0.000448 out_o1=0.121698 out_o2=0.869374
网络的输出：step:9629 loss=0.000444 out_o1=0.121598 out_o2=0.869472
网络的输出：step:9628 loss=0.000440 out_o1=0.121499 out_o2=0.869568
网络的输出：step:9627 loss=0.000436 out_o1=0.121400 out_o2=0.869664
网络的输出：step:9626 loss=0.000432 out_o1=0.121302 out_o2=0.869759
网络的输出：step:9625 loss=0.000428 out_o1=0.121204 out_o2=0.869854
网络的输出：step:9624 loss=0.000424 out_o1=0.121107 out_o2=0.869948
网络的输出：step:9623 loss=0.000420 out_o1=0.121010 out_o2=0.870042
网络的输出：step:9622 loss=0.000416 out_o1=0.120914 out_o2=0.870135
网络的输出：step:9621 loss=0.000412 out_o1=0.120819 out_o2=0.870228
网络的输出：step:9620 loss=0.000408 out_o1=0.120724 out_o2=0.870320
网络的输出：step:9619 loss=0.000405 out_o1=0.120630 out_o2=0.870411
网络的输出：step:9618 loss=0.000401 out_o1=0.120536 out_o2=0.870502
网络的输出：step:9617 loss=0.000397 out_o1=0.120442 out_o2=0.870593
网络的输出：step:9616 loss=0.000394 out_o1=0.120350 out_o2=0.870683
网络的输出：step:9615 loss=0.000390 out_o1=0.120257 out_o2=0.870772
网络的输出：step:9614 loss=0.000386 out_o1=0.120166 out_o2=0.870861
网络的输出：step:9613 loss=0.000383 out_o1=0.120074 out_o2=0.870950
网络的输出：step:9612 loss=0.000379 out_o1=0.119984 out_o2=0.871038
网络的输出：step:9611 loss=0.000376 out_o1=0.119894 out_o2=0.871125
网络的输出：step:9610 loss=0.000373 out_o1=0.119804 out_o2=0.871212
网络的输出：step:9609 loss=0.000369 out_o1=0.119715 out_o2=0.871299
网络的输出：step:9608 loss=0.000366 out_o1=0.119626 out_o2=0.871384
网络的输出：step:9607 loss=0.000363 out_o1=0.119538 out_o2=0.871470
网络的输出：step:9606 loss=0.000359 out_o1=0.119450 out_o2=0.871555
网络的输出：step:9605 loss=0.000356 out_o1=0.119363 out_o2=0.871639
网络的输出：step:9604 loss=0.000353 out_o1=0.119276 out_o2=0.871723
网络的输出：step:9603 loss=0.000350 out_o1=0.119190 out_o2=0.871807
网络的输出：step:9602 loss=0.000346 out_o1=0.119104 out_o2=0.871890
网络的输出：step:9601 loss=0.000343 out_o1=0.119019 out_o2=0.871973
网络的输出：step:9600 loss=0.000340 out_o1=0.118934 out_o2=0.872055
网络的输出：step:9599 loss=0.000337 out_o1=0.118850 out_o2=0.872137
网络的输出：step:9598 loss=0.000334 out_o1=0.118766 out_o2=0.872218
网络的输出：step:9597 loss=0.000331 out_o1=0.118682 out_o2=0.872299
网络的输出：step:9596 loss=0.000328 out_o1=0.118599 out_o2=0.872379
网络的输出：step:9595 loss=0.000325 out_o1=0.118517 out_o2=0.872459
网络的输出：step:9594 loss=0.000322 out_o1=0.118435 out_o2=0.872538
网络的输出：step:9593 loss=0.000319 out_o1=0.118353 out_o2=0.872617
网络的输出：step:9592 loss=0.000317 out_o1=0.118272 out_o2=0.872696
网络的输出：step:9591 loss=0.000314 out_o1=0.118191 out_o2=0.872774
网络的输出：step:9590 loss=0.000311 out_o1=0.118111 out_o2=0.872852
网络的输出：step:9589 loss=0.000308 out_o1=0.118031 out_o2=0.872929
网络的输出：step:9588 loss=0.000306 out_o1=0.117952 out_o2=0.873006
网络的输出：step:9587 loss=0.000303 out_o1=0.117873 out_o2=0.873082
网络的输出：step:9586 loss=0.000300 out_o1=0.117794 out_o2=0.873159
网络的输出：step:9585 loss=0.000297 out_o1=0.117716 out_o2=0.873234
网络的输出：step:9584 loss=0.000295 out_o1=0.117638 out_o2=0.873309
网络的输出：step:9583 loss=0.000292 out_o1=0.117561 out_o2=0.873384
网络的输出：step:9582 loss=0.000290 out_o1=0.117484 out_o2=0.873459
网络的输出：step:9581 loss=0.000287 out_o1=0.117407 out_o2=0.873533
网络的输出：step:9580 loss=0.000285 out_o1=0.117331 out_o2=0.873606
网络的输出：step:9579 loss=0.000282 out_o1=0.117255 out_o2=0.873679
网络的输出：step:9578 loss=0.000280 out_o1=0.117180 out_o2=0.873752
网络的输出：step:9577 loss=0.000277 out_o1=0.117105 out_o2=0.873825
网络的输出：step:9576 loss=0.000275 out_o1=0.117031 out_o2=0.873897
网络的输出：step:9575 loss=0.000272 out_o1=0.116957 out_o2=0.873968
网络的输出：step:9574 loss=0.000270 out_o1=0.116883 out_o2=0.874039
网络的输出：step:9573 loss=0.000268 out_o1=0.116809 out_o2=0.874110
网络的输出：step:9572 loss=0.000265 out_o1=0.116737 out_o2=0.874181
网络的输出：step:9571 loss=0.000263 out_o1=0.116664 out_o2=0.874251
网络的输出：step:9570 loss=0.000261 out_o1=0.116592 out_o2=0.874321
网络的输出：step:9569 loss=0.000258 out_o1=0.116520 out_o2=0.874390
网络的输出：step:9568 loss=0.000256 out_o1=0.116448 out_o2=0.874459
网络的输出：step:9567 loss=0.000254 out_o1=0.116377 out_o2=0.874528
网络的输出：step:9566 loss=0.000252 out_o1=0.116307 out_o2=0.874596
网络的输出：step:9565 loss=0.000249 out_o1=0.116236 out_o2=0.874664
网络的输出：step:9564 loss=0.000247 out_o1=0.116166 out_o2=0.874731
网络的输出：step:9563 loss=0.000245 out_o1=0.116097 out_o2=0.874798
网络的输出：step:9562 loss=0.000243 out_o1=0.116028 out_o2=0.874865
网络的输出：step:9561 loss=0.000241 out_o1=0.115959 out_o2=0.874932
网络的输出：step:9560 loss=0.000239 out_o1=0.115890 out_o2=0.874998
网络的输出：step:9559 loss=0.000237 out_o1=0.115822 out_o2=0.875064
网络的输出：step:9558 loss=0.000235 out_o1=0.115754 out_o2=0.875129
网络的输出：step:9557 loss=0.000233 out_o1=0.115687 out_o2=0.875194
网络的输出：step:9556 loss=0.000231 out_o1=0.115620 out_o2=0.875259
网络的输出：step:9555 loss=0.000229 out_o1=0.115553 out_o2=0.875323
网络的输出：step:9554 loss=0.000227 out_o1=0.115486 out_o2=0.875388
网络的输出：step:9553 loss=0.000225 out_o1=0.115420 out_o2=0.875451
网络的输出：step:9552 loss=0.000223 out_o1=0.115354 out_o2=0.875515
网络的输出：step:9551 loss=0.000221 out_o1=0.115289 out_o2=0.875578
网络的输出：step:9550 loss=0.000219 out_o1=0.115224 out_o2=0.875641
网络的输出：step:9549 loss=0.000217 out_o1=0.115159 out_o2=0.875703
网络的输出：step:9548 loss=0.000215 out_o1=0.115095 out_o2=0.875765
网络的输出：step:9547 loss=0.000213 out_o1=0.115031 out_o2=0.875827
网络的输出：step:9546 loss=0.000212 out_o1=0.114967 out_o2=0.875888
网络的输出：step:9545 loss=0.000210 out_o1=0.114903 out_o2=0.875950
网络的输出：step:9544 loss=0.000208 out_o1=0.114840 out_o2=0.876010
网络的输出：step:9543 loss=0.000206 out_o1=0.114777 out_o2=0.876071
网络的输出：step:9542 loss=0.000204 out_o1=0.114715 out_o2=0.876131
网络的输出：step:9541 loss=0.000203 out_o1=0.114653 out_o2=0.876191
网络的输出：step:9540 loss=0.000201 out_o1=0.114591 out_o2=0.876251
网络的输出：step:9539 loss=0.000199 out_o1=0.114529 out_o2=0.876310
网络的输出：step:9538 loss=0.000198 out_o1=0.114468 out_o2=0.876369
网络的输出：step:9537 loss=0.000196 out_o1=0.114407 out_o2=0.876428
网络的输出：step:9536 loss=0.000194 out_o1=0.114346 out_o2=0.876486
网络的输出：step:9535 loss=0.000193 out_o1=0.114286 out_o2=0.876544
网络的输出：step:9534 loss=0.000191 out_o1=0.114226 out_o2=0.876602
网络的输出：step:9533 loss=0.000189 out_o1=0.114166 out_o2=0.876660
网络的输出：step:9532 loss=0.000188 out_o1=0.114107 out_o2=0.876717
网络的输出：step:9531 loss=0.000186 out_o1=0.114047 out_o2=0.876774
网络的输出：step:9530 loss=0.000185 out_o1=0.113989 out_o2=0.876830
网络的输出：step:9529 loss=0.000183 out_o1=0.113930 out_o2=0.876887
网络的输出：step:9528 loss=0.000181 out_o1=0.113872 out_o2=0.876943
网络的输出：step:9527 loss=0.000180 out_o1=0.113814 out_o2=0.876999
网络的输出：step:9526 loss=0.000178 out_o1=0.113756 out_o2=0.877054
网络的输出：step:9525 loss=0.000177 out_o1=0.113699 out_o2=0.877109
网络的输出：step:9524 loss=0.000175 out_o1=0.113641 out_o2=0.877164
网络的输出：step:9523 loss=0.000174 out_o1=0.113584 out_o2=0.877219
网络的输出：step:9522 loss=0.000172 out_o1=0.113528 out_o2=0.877273
网络的输出：step:9521 loss=0.000171 out_o1=0.113472 out_o2=0.877328
网络的输出：step:9520 loss=0.000170 out_o1=0.113415 out_o2=0.877382
网络的输出：step:9519 loss=0.000168 out_o1=0.113360 out_o2=0.877435
网络的输出：step:9518 loss=0.000167 out_o1=0.113304 out_o2=0.877488
网络的输出：step:9517 loss=0.000165 out_o1=0.113249 out_o2=0.877542
网络的输出：step:9516 loss=0.000164 out_o1=0.113194 out_o2=0.877594
网络的输出：step:9515 loss=0.000163 out_o1=0.113139 out_o2=0.877647
网络的输出：step:9514 loss=0.000161 out_o1=0.113085 out_o2=0.877699
网络的输出：step:9513 loss=0.000160 out_o1=0.113031 out_o2=0.877751
网络的输出：step:9512 loss=0.000159 out_o1=0.112977 out_o2=0.877803
网络的输出：step:9511 loss=0.000157 out_o1=0.112923 out_o2=0.877855
网络的输出：step:9510 loss=0.000156 out_o1=0.112870 out_o2=0.877906
网络的输出：step:9509 loss=0.000155 out_o1=0.112817 out_o2=0.877957
网络的输出：step:9508 loss=0.000153 out_o1=0.112764 out_o2=0.878008
网络的输出：step:9507 loss=0.000152 out_o1=0.112711 out_o2=0.878058
网络的输出：step:9506 loss=0.000151 out_o1=0.112659 out_o2=0.878108
网络的输出：step:9505 loss=0.000150 out_o1=0.112607 out_o2=0.878158
网络的输出：step:9504 loss=0.000148 out_o1=0.112555 out_o2=0.878208
网络的输出：step:9503 loss=0.000147 out_o1=0.112503 out_o2=0.878258
网络的输出：step:9502 loss=0.000146 out_o1=0.112452 out_o2=0.878307
网络的输出：step:9501 loss=0.000145 out_o1=0.112401 out_o2=0.878356
网络的输出：step:9500 loss=0.000143 out_o1=0.112350 out_o2=0.878405
网络的输出：step:9499 loss=0.000142 out_o1=0.112299 out_o2=0.878453
网络的输出：step:9498 loss=0.000141 out_o1=0.112249 out_o2=0.878502
网络的输出：step:9497 loss=0.000140 out_o1=0.112198 out_o2=0.878550
网络的输出：step:9496 loss=0.000139 out_o1=0.112149 out_o2=0.878598
网络的输出：step:9495 loss=0.000138 out_o1=0.112099 out_o2=0.878645
网络的输出：step:9494 loss=0.000137 out_o1=0.112049 out_o2=0.878693
网络的输出：step:9493 loss=0.000135 out_o1=0.112000 out_o2=0.878740
网络的输出：step:9492 loss=0.000134 out_o1=0.111951 out_o2=0.878787
网络的输出：step:9491 loss=0.000133 out_o1=0.111902 out_o2=0.878834
网络的输出：step:9490 loss=0.000132 out_o1=0.111854 out_o2=0.878880
网络的输出：step:9489 loss=0.000131 out_o1=0.111806 out_o2=0.878927
网络的输出：step:9488 loss=0.000130 out_o1=0.111757 out_o2=0.878973
网络的输出：step:9487 loss=0.000129 out_o1=0.111710 out_o2=0.879018
网络的输出：step:9486 loss=0.000128 out_o1=0.111662 out_o2=0.879064
网络的输出：step:9485 loss=0.000127 out_o1=0.111615 out_o2=0.879109
网络的输出：step:9484 loss=0.000126 out_o1=0.111567 out_o2=0.879155
网络的输出：step:9483 loss=0.000125 out_o1=0.111520 out_o2=0.879200
网络的输出：step:9482 loss=0.000124 out_o1=0.111474 out_o2=0.879244
网络的输出：step:9481 loss=0.000123 out_o1=0.111427 out_o2=0.879289
网络的输出：step:9480 loss=0.000122 out_o1=0.111381 out_o2=0.879333
网络的输出：step:9479 loss=0.000121 out_o1=0.111335 out_o2=0.879377
网络的输出：step:9478 loss=0.000120 out_o1=0.111289 out_o2=0.879421
网络的输出：step:9477 loss=0.000119 out_o1=0.111243 out_o2=0.879465
网络的输出：step:9476 loss=0.000118 out_o1=0.111198 out_o2=0.879508
网络的输出：step:9475 loss=0.000117 out_o1=0.111153 out_o2=0.879552
网络的输出：step:9474 loss=0.000116 out_o1=0.111108 out_o2=0.879595
网络的输出：step:9473 loss=0.000115 out_o1=0.111063 out_o2=0.879638
网络的输出：step:9472 loss=0.000114 out_o1=0.111018 out_o2=0.879680
网络的输出：step:9471 loss=0.000113 out_o1=0.110974 out_o2=0.879723
网络的输出：step:9470 loss=0.000112 out_o1=0.110929 out_o2=0.879765
网络的输出：step:9469 loss=0.000111 out_o1=0.110885 out_o2=0.879807
网络的输出：step:9468 loss=0.000110 out_o1=0.110842 out_o2=0.879849
网络的输出：step:9467 loss=0.000109 out_o1=0.110798 out_o2=0.879891
网络的输出：step:9466 loss=0.000109 out_o1=0.110755 out_o2=0.879932
网络的输出：step:9465 loss=0.000108 out_o1=0.110711 out_o2=0.879974
网络的输出：step:9464 loss=0.000107 out_o1=0.110668 out_o2=0.880015
网络的输出：step:9463 loss=0.000106 out_o1=0.110626 out_o2=0.880056
网络的输出：step:9462 loss=0.000105 out_o1=0.110583 out_o2=0.880096
网络的输出：step:9461 loss=0.000104 out_o1=0.110541 out_o2=0.880137
网络的输出：step:9460 loss=0.000103 out_o1=0.110498 out_o2=0.880177
网络的输出：step:9459 loss=0.000103 out_o1=0.110456 out_o2=0.880217
网络的输出：step:9458 loss=0.000102 out_o1=0.110414 out_o2=0.880257
网络的输出：step:9457 loss=0.000101 out_o1=0.110373 out_o2=0.880297
网络的输出：step:9456 loss=0.000100 out_o1=0.110331 out_o2=0.880337
网络的输出：step:9455 loss=0.000099 out_o1=0.110290 out_o2=0.880376
网络的输出：step:9454 loss=0.000098 out_o1=0.110249 out_o2=0.880415
网络的输出：step:9453 loss=0.000098 out_o1=0.110208 out_o2=0.880454
网络的输出：step:9452 loss=0.000097 out_o1=0.110167 out_o2=0.880493
网络的输出：step:9451 loss=0.000096 out_o1=0.110127 out_o2=0.880532
网络的输出：step:9450 loss=0.000095 out_o1=0.110086 out_o2=0.880570
网络的输出：step:9449 loss=0.000095 out_o1=0.110046 out_o2=0.880609
网络的输出：step:9448 loss=0.000094 out_o1=0.110006 out_o2=0.880647
网络的输出：step:9447 loss=0.000093 out_o1=0.109967 out_o2=0.880685
网络的输出：step:9446 loss=0.000092 out_o1=0.109927 out_o2=0.880723
网络的输出：step:9445 loss=0.000092 out_o1=0.109887 out_o2=0.880760
网络的输出：step:9444 loss=0.000091 out_o1=0.109848 out_o2=0.880798
网络的输出：step:9443 loss=0.000090 out_o1=0.109809 out_o2=0.880835
网络的输出：step:9442 loss=0.000089 out_o1=0.109770 out_o2=0.880872
网络的输出：step:9441 loss=0.000089 out_o1=0.109731 out_o2=0.880909
网络的输出：step:9440 loss=0.000088 out_o1=0.109693 out_o2=0.880946
网络的输出：step:9439 loss=0.000087 out_o1=0.109654 out_o2=0.880982
网络的输出：step:9438 loss=0.000087 out_o1=0.109616 out_o2=0.881019
网络的输出：step:9437 loss=0.000086 out_o1=0.109578 out_o2=0.881055
网络的输出：step:9436 loss=0.000085 out_o1=0.109540 out_o2=0.881091
网络的输出：step:9435 loss=0.000085 out_o1=0.109503 out_o2=0.881127
网络的输出：step:9434 loss=0.000084 out_o1=0.109465 out_o2=0.881163
网络的输出：step:9433 loss=0.000083 out_o1=0.109428 out_o2=0.881198
网络的输出：step:9432 loss=0.000083 out_o1=0.109390 out_o2=0.881234
网络的输出：step:9431 loss=0.000082 out_o1=0.109353 out_o2=0.881269
网络的输出：step:9430 loss=0.000081 out_o1=0.109316 out_o2=0.881304
网络的输出：step:9429 loss=0.000081 out_o1=0.109280 out_o2=0.881339
网络的输出：step:9428 loss=0.000080 out_o1=0.109243 out_o2=0.881374
网络的输出：step:9427 loss=0.000079 out_o1=0.109207 out_o2=0.881409
网络的输出：step:9426 loss=0.000079 out_o1=0.109170 out_o2=0.881443
网络的输出：step:9425 loss=0.000078 out_o1=0.109134 out_o2=0.881478
网络的输出：step:9424 loss=0.000077 out_o1=0.109098 out_o2=0.881512
网络的输出：step:9423 loss=0.000077 out_o1=0.109063 out_o2=0.881546
网络的输出：step:9422 loss=0.000076 out_o1=0.109027 out_o2=0.881580
网络的输出：step:9421 loss=0.000076 out_o1=0.108992 out_o2=0.881613
网络的输出：step:9420 loss=0.000075 out_o1=0.108956 out_o2=0.881647
网络的输出：step:9419 loss=0.000074 out_o1=0.108921 out_o2=0.881680
网络的输出：step:9418 loss=0.000074 out_o1=0.108886 out_o2=0.881714
网络的输出：step:9417 loss=0.000073 out_o1=0.108851 out_o2=0.881747
网络的输出：step:9416 loss=0.000073 out_o1=0.108817 out_o2=0.881780
网络的输出：step:9415 loss=0.000072 out_o1=0.108782 out_o2=0.881813
网络的输出：step:9414 loss=0.000072 out_o1=0.108748 out_o2=0.881845
网络的输出：step:9413 loss=0.000071 out_o1=0.108714 out_o2=0.881878
网络的输出：step:9412 loss=0.000070 out_o1=0.108680 out_o2=0.881910
网络的输出：step:9411 loss=0.000070 out_o1=0.108646 out_o2=0.881943
网络的输出：step:9410 loss=0.000069 out_o1=0.108612 out_o2=0.881975
网络的输出：step:9409 loss=0.000069 out_o1=0.108578 out_o2=0.882007
网络的输出：step:9408 loss=0.000068 out_o1=0.108545 out_o2=0.882038
网络的输出：step:9407 loss=0.000068 out_o1=0.108511 out_o2=0.882070
网络的输出：step:9406 loss=0.000067 out_o1=0.108478 out_o2=0.882102
网络的输出：step:9405 loss=0.000067 out_o1=0.108445 out_o2=0.882133
网络的输出：step:9404 loss=0.000066 out_o1=0.108412 out_o2=0.882164
网络的输出：step:9403 loss=0.000066 out_o1=0.108379 out_o2=0.882195
网络的输出：step:9402 loss=0.000065 out_o1=0.108347 out_o2=0.882226
网络的输出：step:9401 loss=0.000065 out_o1=0.108314 out_o2=0.882257
网络的输出：step:9400 loss=0.000064 out_o1=0.108282 out_o2=0.882288
网络的输出：step:9399 loss=0.000064 out_o1=0.108250 out_o2=0.882319
网络的输出：step:9398 loss=0.000063 out_o1=0.108218 out_o2=0.882349
网络的输出：step:9397 loss=0.000063 out_o1=0.108186 out_o2=0.882379
网络的输出：step:9396 loss=0.000062 out_o1=0.108154 out_o2=0.882409
网络的输出：step:9395 loss=0.000062 out_o1=0.108122 out_o2=0.882439
网络的输出：step:9394 loss=0.000061 out_o1=0.108091 out_o2=0.882469
网络的输出：step:9393 loss=0.000061 out_o1=0.108059 out_o2=0.882499
网络的输出：step:9392 loss=0.000060 out_o1=0.108028 out_o2=0.882529
网络的输出：step:9391 loss=0.000060 out_o1=0.107997 out_o2=0.882558
网络的输出：step:9390 loss=0.000059 out_o1=0.107966 out_o2=0.882588
网络的输出：step:9389 loss=0.000059 out_o1=0.107935 out_o2=0.882617
网络的输出：step:9388 loss=0.000058 out_o1=0.107904 out_o2=0.882646
网络的输出：step:9387 loss=0.000058 out_o1=0.107874 out_o2=0.882675
网络的输出：step:9386 loss=0.000057 out_o1=0.107843 out_o2=0.882704
网络的输出：step:9385 loss=0.000057 out_o1=0.107813 out_o2=0.882733
网络的输出：step:9384 loss=0.000056 out_o1=0.107783 out_o2=0.882761
网络的输出：step:9383 loss=0.000056 out_o1=0.107753 out_o2=0.882790
网络的输出：step:9382 loss=0.000056 out_o1=0.107723 out_o2=0.882818
网络的输出：step:9381 loss=0.000055 out_o1=0.107693 out_o2=0.882846
网络的输出：step:9380 loss=0.000055 out_o1=0.107663 out_o2=0.882875
网络的输出：step:9379 loss=0.000054 out_o1=0.107634 out_o2=0.882903
网络的输出：step:9378 loss=0.000054 out_o1=0.107604 out_o2=0.882930
网络的输出：step:9377 loss=0.000053 out_o1=0.107575 out_o2=0.882958
网络的输出：step:9376 loss=0.000053 out_o1=0.107546 out_o2=0.882986
网络的输出：step:9375 loss=0.000053 out_o1=0.107517 out_o2=0.883013
网络的输出：step:9374 loss=0.000052 out_o1=0.107488 out_o2=0.883041
网络的输出：step:9373 loss=0.000052 out_o1=0.107459 out_o2=0.883068
网络的输出：step:9372 loss=0.000051 out_o1=0.107430 out_o2=0.883095
网络的输出：step:9371 loss=0.000051 out_o1=0.107402 out_o2=0.883122
网络的输出：step:9370 loss=0.000051 out_o1=0.107373 out_o2=0.883149
网络的输出：step:9369 loss=0.000050 out_o1=0.107345 out_o2=0.883176
网络的输出：step:9368 loss=0.000050 out_o1=0.107317 out_o2=0.883203
网络的输出：step:9367 loss=0.000049 out_o1=0.107289 out_o2=0.883229
网络的输出：step:9366 loss=0.000049 out_o1=0.107261 out_o2=0.883256
网络的输出：step:9365 loss=0.000049 out_o1=0.107233 out_o2=0.883282
网络的输出：step:9364 loss=0.000048 out_o1=0.107205 out_o2=0.883308
网络的输出：step:9363 loss=0.000048 out_o1=0.107178 out_o2=0.883334
网络的输出：step:9362 loss=0.000048 out_o1=0.107150 out_o2=0.883360
网络的输出：step:9361 loss=0.000047 out_o1=0.107123 out_o2=0.883386
网络的输出：step:9360 loss=0.000047 out_o1=0.107095 out_o2=0.883412
网络的输出：step:9359 loss=0.000047 out_o1=0.107068 out_o2=0.883438
网络的输出：step:9358 loss=0.000046 out_o1=0.107041 out_o2=0.883463
网络的输出：step:9357 loss=0.000046 out_o1=0.107014 out_o2=0.883489
网络的输出：step:9356 loss=0.000045 out_o1=0.106987 out_o2=0.883514
网络的输出：step:9355 loss=0.000045 out_o1=0.106961 out_o2=0.883539
网络的输出：step:9354 loss=0.000045 out_o1=0.106934 out_o2=0.883565
网络的输出：step:9353 loss=0.000044 out_o1=0.106908 out_o2=0.883590
网络的输出：step:9352 loss=0.000044 out_o1=0.106881 out_o2=0.883615
网络的输出：step:9351 loss=0.000044 out_o1=0.106855 out_o2=0.883639
网络的输出：step:9350 loss=0.000043 out_o1=0.106829 out_o2=0.883664
网络的输出：step:9349 loss=0.000043 out_o1=0.106803 out_o2=0.883689
网络的输出：step:9348 loss=0.000043 out_o1=0.106777 out_o2=0.883713
网络的输出：step:9347 loss=0.000042 out_o1=0.106751 out_o2=0.883738
网络的输出：step:9346 loss=0.000042 out_o1=0.106725 out_o2=0.883762
网络的输出：step:9345 loss=0.000042 out_o1=0.106700 out_o2=0.883786
网络的输出：step:9344 loss=0.000041 out_o1=0.106674 out_o2=0.883810
网络的输出：step:9343 loss=0.000041 out_o1=0.106649 out_o2=0.883834
网络的输出：step:9342 loss=0.000041 out_o1=0.106623 out_o2=0.883858
网络的输出：step:9341 loss=0.000040 out_o1=0.106598 out_o2=0.883882
网络的输出：step:9340 loss=0.000040 out_o1=0.106573 out_o2=0.883905
网络的输出：step:9339 loss=0.000040 out_o1=0.106548 out_o2=0.883929
网络的输出：step:9338 loss=0.000040 out_o1=0.106523 out_o2=0.883953
网络的输出：step:9337 loss=0.000039 out_o1=0.106498 out_o2=0.883976
网络的输出：step:9336 loss=0.000039 out_o1=0.106474 out_o2=0.883999
网络的输出：step:9335 loss=0.000039 out_o1=0.106449 out_o2=0.884022
网络的输出：step:9334 loss=0.000038 out_o1=0.106425 out_o2=0.884045
网络的输出：step:9333 loss=0.000038 out_o1=0.106400 out_o2=0.884068
网络的输出：step:9332 loss=0.000038 out_o1=0.106376 out_o2=0.884091
网络的输出：step:9331 loss=0.000037 out_o1=0.106352 out_o2=0.884114
网络的输出：step:9330 loss=0.000037 out_o1=0.106328 out_o2=0.884137
网络的输出：step:9329 loss=0.000037 out_o1=0.106304 out_o2=0.884159
网络的输出：step:9328 loss=0.000037 out_o1=0.106280 out_o2=0.884182
网络的输出：step:9327 loss=0.000036 out_o1=0.106256 out_o2=0.884204
网络的输出：step:9326 loss=0.000036 out_o1=0.106232 out_o2=0.884227
网络的输出：step:9325 loss=0.000036 out_o1=0.106209 out_o2=0.884249
网络的输出：step:9324 loss=0.000036 out_o1=0.106185 out_o2=0.884271
网络的输出：step:9323 loss=0.000035 out_o1=0.106162 out_o2=0.884293
网络的输出：step:9322 loss=0.000035 out_o1=0.106139 out_o2=0.884315
网络的输出：step:9321 loss=0.000035 out_o1=0.106115 out_o2=0.884337
网络的输出：step:9320 loss=0.000034 out_o1=0.106092 out_o2=0.884359
网络的输出：step:9319 loss=0.000034 out_o1=0.106069 out_o2=0.884380
网络的输出：step:9318 loss=0.000034 out_o1=0.106046 out_o2=0.884402
网络的输出：step:9317 loss=0.000034 out_o1=0.106024 out_o2=0.884423
网络的输出：step:9316 loss=0.000033 out_o1=0.106001 out_o2=0.884445
网络的输出：step:9315 loss=0.000033 out_o1=0.105978 out_o2=0.884466
网络的输出：step:9314 loss=0.000033 out_o1=0.105956 out_o2=0.884487
网络的输出：step:9313 loss=0.000033 out_o1=0.105933 out_o2=0.884509
网络的输出：step:9312 loss=0.000032 out_o1=0.105911 out_o2=0.884530
网络的输出：step:9311 loss=0.000032 out_o1=0.105889 out_o2=0.884551
网络的输出：step:9310 loss=0.000032 out_o1=0.105866 out_o2=0.884571
网络的输出：step:9309 loss=0.000032 out_o1=0.105844 out_o2=0.884592
网络的输出：step:9308 loss=0.000031 out_o1=0.105822 out_o2=0.884613
网络的输出：step:9307 loss=0.000031 out_o1=0.105800 out_o2=0.884634
网络的输出：step:9306 loss=0.000031 out_o1=0.105779 out_o2=0.884654
网络的输出：step:9305 loss=0.000031 out_o1=0.105757 out_o2=0.884675
网络的输出：step:9304 loss=0.000031 out_o1=0.105735 out_o2=0.884695
网络的输出：step:9303 loss=0.000030 out_o1=0.105714 out_o2=0.884715
网络的输出：step:9302 loss=0.000030 out_o1=0.105692 out_o2=0.884735
网络的输出：step:9301 loss=0.000030 out_o1=0.105671 out_o2=0.884755
网络的输出：step:9300 loss=0.000030 out_o1=0.105649 out_o2=0.884775
网络的输出：step:9299 loss=0.000029 out_o1=0.105628 out_o2=0.884795
网络的输出：step:9298 loss=0.000029 out_o1=0.105607 out_o2=0.884815
网络的输出：step:9297 loss=0.000029 out_o1=0.105586 out_o2=0.884835
网络的输出：step:9296 loss=0.000029 out_o1=0.105565 out_o2=0.884855
网络的输出：step:9295 loss=0.000029 out_o1=0.105544 out_o2=0.884874
网络的输出：step:9294 loss=0.000028 out_o1=0.105523 out_o2=0.884894
网络的输出：step:9293 loss=0.000028 out_o1=0.105503 out_o2=0.884913
网络的输出：step:9292 loss=0.000028 out_o1=0.105482 out_o2=0.884933
网络的输出：step:9291 loss=0.000028 out_o1=0.105462 out_o2=0.884952
网络的输出：step:9290 loss=0.000027 out_o1=0.105441 out_o2=0.884971
网络的输出：step:9289 loss=0.000027 out_o1=0.105421 out_o2=0.884990
网络的输出：step:9288 loss=0.000027 out_o1=0.105400 out_o2=0.885009
网络的输出：step:9287 loss=0.000027 out_o1=0.105380 out_o2=0.885028
网络的输出：step:9286 loss=0.000027 out_o1=0.105360 out_o2=0.885047
网络的输出：step:9285 loss=0.000026 out_o1=0.105340 out_o2=0.885066
网络的输出：step:9284 loss=0.000026 out_o1=0.105320 out_o2=0.885085
网络的输出：step:9283 loss=0.000026 out_o1=0.105300 out_o2=0.885104
网络的输出：step:9282 loss=0.000026 out_o1=0.105280 out_o2=0.885122
网络的输出：step:9281 loss=0.000026 out_o1=0.105261 out_o2=0.885141
网络的输出：step:9280 loss=0.000025 out_o1=0.105241 out_o2=0.885159
网络的输出：step:9279 loss=0.000025 out_o1=0.105221 out_o2=0.885178
网络的输出：step:9278 loss=0.000025 out_o1=0.105202 out_o2=0.885196
网络的输出：step:9277 loss=0.000025 out_o1=0.105182 out_o2=0.885214
网络的输出：step:9276 loss=0.000025 out_o1=0.105163 out_o2=0.885232
网络的输出：step:9275 loss=0.000025 out_o1=0.105144 out_o2=0.885250
网络的输出：step:9274 loss=0.000024 out_o1=0.105125 out_o2=0.885268
网络的输出：step:9273 loss=0.000024 out_o1=0.105106 out_o2=0.885286
网络的输出：step:9272 loss=0.000024 out_o1=0.105087 out_o2=0.885304
网络的输出：step:9271 loss=0.000024 out_o1=0.105068 out_o2=0.885322
网络的输出：step:9270 loss=0.000024 out_o1=0.105049 out_o2=0.885340
网络的输出：step:9269 loss=0.000023 out_o1=0.105030 out_o2=0.885357
网络的输出：step:9268 loss=0.000023 out_o1=0.105011 out_o2=0.885375
网络的输出：step:9267 loss=0.000023 out_o1=0.104992 out_o2=0.885392
网络的输出：step:9266 loss=0.000023 out_o1=0.104974 out_o2=0.885410
网络的输出：step:9265 loss=0.000023 out_o1=0.104955 out_o2=0.885427
网络的输出：step:9264 loss=0.000023 out_o1=0.104937 out_o2=0.885444
网络的输出：step:9263 loss=0.000022 out_o1=0.104919 out_o2=0.885461
网络的输出：step:9262 loss=0.000022 out_o1=0.104900 out_o2=0.885479
网络的输出：step:9261 loss=0.000022 out_o1=0.104882 out_o2=0.885496
网络的输出：step:9260 loss=0.000022 out_o1=0.104864 out_o2=0.885513
网络的输出：step:9259 loss=0.000022 out_o1=0.104846 out_o2=0.885530
网络的输出：step:9258 loss=0.000022 out_o1=0.104828 out_o2=0.885546
网络的输出：step:9257 loss=0.000021 out_o1=0.104810 out_o2=0.885563
网络的输出：step:9256 loss=0.000021 out_o1=0.104792 out_o2=0.885580
网络的输出：step:9255 loss=0.000021 out_o1=0.104774 out_o2=0.885597
网络的输出：step:9254 loss=0.000021 out_o1=0.104757 out_o2=0.885613
网络的输出：step:9253 loss=0.000021 out_o1=0.104739 out_o2=0.885630
网络的输出：step:9252 loss=0.000021 out_o1=0.104721 out_o2=0.885646
网络的输出：step:9251 loss=0.000020 out_o1=0.104704 out_o2=0.885663
网络的输出：step:9250 loss=0.000020 out_o1=0.104686 out_o2=0.885679
网络的输出：step:9249 loss=0.000020 out_o1=0.104669 out_o2=0.885695
网络的输出：step:9248 loss=0.000020 out_o1=0.104652 out_o2=0.885711
网络的输出：step:9247 loss=0.000020 out_o1=0.104634 out_o2=0.885728
网络的输出：step:9246 loss=0.000020 out_o1=0.104617 out_o2=0.885744
网络的输出：step:9245 loss=0.000020 out_o1=0.104600 out_o2=0.885760
网络的输出：step:9244 loss=0.000019 out_o1=0.104583 out_o2=0.885776
网络的输出：step:9243 loss=0.000019 out_o1=0.104566 out_o2=0.885791
网络的输出：step:9242 loss=0.000019 out_o1=0.104549 out_o2=0.885807
网络的输出：step:9241 loss=0.000019 out_o1=0.104532 out_o2=0.885823
网络的输出：step:9240 loss=0.000019 out_o1=0.104516 out_o2=0.885839
网络的输出：step:9239 loss=0.000019 out_o1=0.104499 out_o2=0.885854
网络的输出：step:9238 loss=0.000019 out_o1=0.104482 out_o2=0.885870
网络的输出：step:9237 loss=0.000018 out_o1=0.104466 out_o2=0.885885
网络的输出：step:9236 loss=0.000018 out_o1=0.104449 out_o2=0.885901
网络的输出：step:9235 loss=0.000018 out_o1=0.104433 out_o2=0.885916
网络的输出：step:9234 loss=0.000018 out_o1=0.104416 out_o2=0.885931
网络的输出：step:9233 loss=0.000018 out_o1=0.104400 out_o2=0.885947
网络的输出：step:9232 loss=0.000018 out_o1=0.104384 out_o2=0.885962
网络的输出：step:9231 loss=0.000018 out_o1=0.104368 out_o2=0.885977
网络的输出：step:9230 loss=0.000017 out_o1=0.104351 out_o2=0.885992
网络的输出：step:9229 loss=0.000017 out_o1=0.104335 out_o2=0.886007
网络的输出：step:9228 loss=0.000017 out_o1=0.104319 out_o2=0.886022
网络的输出：step:9227 loss=0.000017 out_o1=0.104303 out_o2=0.886037
网络的输出：step:9226 loss=0.000017 out_o1=0.104288 out_o2=0.886052
网络的输出：step:9225 loss=0.000017 out_o1=0.104272 out_o2=0.886067
网络的输出：step:9224 loss=0.000017 out_o1=0.104256 out_o2=0.886081
网络的输出：step:9223 loss=0.000017 out_o1=0.104240 out_o2=0.886096
网络的输出：step:9222 loss=0.000016 out_o1=0.104225 out_o2=0.886110
网络的输出：step:9221 loss=0.000016 out_o1=0.104209 out_o2=0.886125
网络的输出：step:9220 loss=0.000016 out_o1=0.104194 out_o2=0.886140
网络的输出：step:9219 loss=0.000016 out_o1=0.104178 out_o2=0.886154
网络的输出：step:9218 loss=0.000016 out_o1=0.104163 out_o2=0.886168
网络的输出：step:9217 loss=0.000016 out_o1=0.104147 out_o2=0.886183
网络的输出：step:9216 loss=0.000016 out_o1=0.104132 out_o2=0.886197
网络的输出：step:9215 loss=0.000016 out_o1=0.104117 out_o2=0.886211
网络的输出：step:9214 loss=0.000016 out_o1=0.104102 out_o2=0.886225
网络的输出：step:9213 loss=0.000015 out_o1=0.104087 out_o2=0.886239
网络的输出：step:9212 loss=0.000015 out_o1=0.104072 out_o2=0.886253
网络的输出：step:9211 loss=0.000015 out_o1=0.104057 out_o2=0.886267
网络的输出：step:9210 loss=0.000015 out_o1=0.104042 out_o2=0.886281
网络的输出：step:9209 loss=0.000015 out_o1=0.104027 out_o2=0.886295
网络的输出：step:9208 loss=0.000015 out_o1=0.104012 out_o2=0.886309
网络的输出：step:9207 loss=0.000015 out_o1=0.103997 out_o2=0.886323
网络的输出：step:9206 loss=0.000015 out_o1=0.103983 out_o2=0.886336
网络的输出：step:9205 loss=0.000015 out_o1=0.103968 out_o2=0.886350
网络的输出：step:9204 loss=0.000014 out_o1=0.103954 out_o2=0.886364
网络的输出：step:9203 loss=0.000014 out_o1=0.103939 out_o2=0.886377
网络的输出：step:9202 loss=0.000014 out_o1=0.103925 out_o2=0.886391
网络的输出：step:9201 loss=0.000014 out_o1=0.103910 out_o2=0.886404
网络的输出：step:9200 loss=0.000014 out_o1=0.103896 out_o2=0.886417
网络的输出：step:9199 loss=0.000014 out_o1=0.103882 out_o2=0.886431
网络的输出：step:9198 loss=0.000014 out_o1=0.103867 out_o2=0.886444
网络的输出：step:9197 loss=0.000014 out_o1=0.103853 out_o2=0.886457
网络的输出：step:9196 loss=0.000014 out_o1=0.103839 out_o2=0.886470
网络的输出：step:9195 loss=0.000013 out_o1=0.103825 out_o2=0.886483
网络的输出：step:9194 loss=0.000013 out_o1=0.103811 out_o2=0.886496
网络的输出：step:9193 loss=0.000013 out_o1=0.103797 out_o2=0.886509
网络的输出：step:9192 loss=0.000013 out_o1=0.103783 out_o2=0.886522
网络的输出：step:9191 loss=0.000013 out_o1=0.103769 out_o2=0.886535
网络的输出：step:9190 loss=0.000013 out_o1=0.103755 out_o2=0.886548
网络的输出：step:9189 loss=0.000013 out_o1=0.103742 out_o2=0.886561
网络的输出：step:9188 loss=0.000013 out_o1=0.103728 out_o2=0.886574
网络的输出：step:9187 loss=0.000013 out_o1=0.103714 out_o2=0.886587
网络的输出：step:9186 loss=0.000013 out_o1=0.103701 out_o2=0.886599
网络的输出：step:9185 loss=0.000013 out_o1=0.103687 out_o2=0.886612
网络的输出：step:9184 loss=0.000012 out_o1=0.103674 out_o2=0.886624
网络的输出：step:9183 loss=0.000012 out_o1=0.103660 out_o2=0.886637
网络的输出：step:9182 loss=0.000012 out_o1=0.103647 out_o2=0.886649
网络的输出：step:9181 loss=0.000012 out_o1=0.103633 out_o2=0.886662
网络的输出：step:9180 loss=0.000012 out_o1=0.103620 out_o2=0.886674
网络的输出：step:9179 loss=0.000012 out_o1=0.103607 out_o2=0.886686
网络的输出：step:9178 loss=0.000012 out_o1=0.103594 out_o2=0.886699
网络的输出：step:9177 loss=0.000012 out_o1=0.103581 out_o2=0.886711
网络的输出：step:9176 loss=0.000012 out_o1=0.103568 out_o2=0.886723
网络的输出：step:9175 loss=0.000012 out_o1=0.103555 out_o2=0.886735
网络的输出：step:9174 loss=0.000012 out_o1=0.103542 out_o2=0.886747
网络的输出：step:9173 loss=0.000011 out_o1=0.103529 out_o2=0.886759
网络的输出：step:9172 loss=0.000011 out_o1=0.103516 out_o2=0.886771
网络的输出：step:9171 loss=0.000011 out_o1=0.103503 out_o2=0.886783
网络的输出：step:9170 loss=0.000011 out_o1=0.103490 out_o2=0.886795
网络的输出：step:9169 loss=0.000011 out_o1=0.103477 out_o2=0.886807
网络的输出：step:9168 loss=0.000011 out_o1=0.103465 out_o2=0.886819
网络的输出：step:9167 loss=0.000011 out_o1=0.103452 out_o2=0.886830
网络的输出：step:9166 loss=0.000011 out_o1=0.103439 out_o2=0.886842
网络的输出：step:9165 loss=0.000011 out_o1=0.103427 out_o2=0.886854
网络的输出：step:9164 loss=0.000011 out_o1=0.103414 out_o2=0.886865
网络的输出：step:9163 loss=0.000011 out_o1=0.103402 out_o2=0.886877
网络的输出：step:9162 loss=0.000011 out_o1=0.103390 out_o2=0.886889
网络的输出：step:9161 loss=0.000011 out_o1=0.103377 out_o2=0.886900
网络的输出：step:9160 loss=0.000010 out_o1=0.103365 out_o2=0.886911
网络的输出：step:9159 loss=0.000010 out_o1=0.103353 out_o2=0.886923
网络的输出：step:9158 loss=0.000010 out_o1=0.103340 out_o2=0.886934
网络的输出：step:9157 loss=0.000010 out_o1=0.103328 out_o2=0.886946
网络的输出：step:9156 loss=0.000010 out_o1=0.103316 out_o2=0.886957
网络的输出：step:9155 loss=0.000010 out_o1=0.103304 out_o2=0.886968
网络的输出：step:9154 loss=0.000010 out_o1=0.103292 out_o2=0.886979
网络的输出：step:9153 loss=0.000010 out_o1=0.103280 out_o2=0.886990
网络的输出：step:9152 loss=0.000010 out_o1=0.103268 out_o2=0.887001
网络的输出：step:9151 loss=0.000010 out_o1=0.103256 out_o2=0.887012
网络的输出：step:9150 loss=0.000010 out_o1=0.103244 out_o2=0.887023
网络的输出：step:9149 loss=0.000010 out_o1=0.103233 out_o2=0.887034
网络的输出：step:9148 loss=0.000010 out_o1=0.103221 out_o2=0.887045
网络的输出：step:9147 loss=0.000009 out_o1=0.103209 out_o2=0.887056
网络的输出：step:9146 loss=0.000009 out_o1=0.103197 out_o2=0.887067
网络的输出：step:9145 loss=0.000009 out_o1=0.103186 out_o2=0.887078
网络的输出：step:9144 loss=0.000009 out_o1=0.103174 out_o2=0.887089
网络的输出：step:9143 loss=0.000009 out_o1=0.103163 out_o2=0.887099
网络的输出：step:9142 loss=0.000009 out_o1=0.103151 out_o2=0.887110
网络的输出：step:9141 loss=0.000009 out_o1=0.103140 out_o2=0.887121
网络的输出：step:9140 loss=0.000009 out_o1=0.103128 out_o2=0.887131
网络的输出：step:9139 loss=0.000009 out_o1=0.103117 out_o2=0.887142
网络的输出：step:9138 loss=0.000009 out_o1=0.103106 out_o2=0.887152
网络的输出：step:9137 loss=0.000009 out_o1=0.103094 out_o2=0.887163
网络的输出：step:9136 loss=0.000009 out_o1=0.103083 out_o2=0.887173
网络的输出：step:9135 loss=0.000009 out_o1=0.103072 out_o2=0.887183
网络的输出：step:9134 loss=0.000009 out_o1=0.103061 out_o2=0.887194
网络的输出：step:9133 loss=0.000009 out_o1=0.103050 out_o2=0.887204
网络的输出：step:9132 loss=0.000008 out_o1=0.103039 out_o2=0.887214
网络的输出：step:9131 loss=0.000008 out_o1=0.103028 out_o2=0.887225
网络的输出：step:9130 loss=0.000008 out_o1=0.103017 out_o2=0.887235
网络的输出：step:9129 loss=0.000008 out_o1=0.103006 out_o2=0.887245
网络的输出：step:9128 loss=0.000008 out_o1=0.102995 out_o2=0.887255
网络的输出：step:9127 loss=0.000008 out_o1=0.102984 out_o2=0.887265
网络的输出：step:9126 loss=0.000008 out_o1=0.102973 out_o2=0.887275
网络的输出：step:9125 loss=0.000008 out_o1=0.102962 out_o2=0.887285
网络的输出：step:9124 loss=0.000008 out_o1=0.102952 out_o2=0.887295
网络的输出：step:9123 loss=0.000008 out_o1=0.102941 out_o2=0.887305
网络的输出：step:9122 loss=0.000008 out_o1=0.102930 out_o2=0.887315
网络的输出：step:9121 loss=0.000008 out_o1=0.102920 out_o2=0.887325
网络的输出：step:9120 loss=0.000008 out_o1=0.102909 out_o2=0.887334
网络的输出：step:9119 loss=0.000008 out_o1=0.102899 out_o2=0.887344
网络的输出：step:9118 loss=0.000008 out_o1=0.102888 out_o2=0.887354
网络的输出：step:9117 loss=0.000008 out_o1=0.102878 out_o2=0.887364
网络的输出：step:9116 loss=0.000008 out_o1=0.102867 out_o2=0.887373
网络的输出：step:9115 loss=0.000008 out_o1=0.102857 out_o2=0.887383
网络的输出：step:9114 loss=0.000007 out_o1=0.102846 out_o2=0.887392
网络的输出：step:9113 loss=0.000007 out_o1=0.102836 out_o2=0.887402
网络的输出：step:9112 loss=0.000007 out_o1=0.102826 out_o2=0.887412
网络的输出：step:9111 loss=0.000007 out_o1=0.102816 out_o2=0.887421
网络的输出：step:9110 loss=0.000007 out_o1=0.102806 out_o2=0.887430
网络的输出：step:9109 loss=0.000007 out_o1=0.102795 out_o2=0.887440
网络的输出：step:9108 loss=0.000007 out_o1=0.102785 out_o2=0.887449
网络的输出：step:9107 loss=0.000007 out_o1=0.102775 out_o2=0.887459
网络的输出：step:9106 loss=0.000007 out_o1=0.102765 out_o2=0.887468
网络的输出：step:9105 loss=0.000007 out_o1=0.102755 out_o2=0.887477
网络的输出：step:9104 loss=0.000007 out_o1=0.102745 out_o2=0.887486
网络的输出：step:9103 loss=0.000007 out_o1=0.102735 out_o2=0.887495
网络的输出：step:9102 loss=0.000007 out_o1=0.102725 out_o2=0.887505
网络的输出：step:9101 loss=0.000007 out_o1=0.102716 out_o2=0.887514
网络的输出：step:9100 loss=0.000007 out_o1=0.102706 out_o2=0.887523
网络的输出：step:9099 loss=0.000007 out_o1=0.102696 out_o2=0.887532
网络的输出：step:9098 loss=0.000007 out_o1=0.102686 out_o2=0.887541
网络的输出：step:9097 loss=0.000007 out_o1=0.102677 out_o2=0.887550
网络的输出：step:9096 loss=0.000007 out_o1=0.102667 out_o2=0.887559
网络的输出：step:9095 loss=0.000006 out_o1=0.102657 out_o2=0.887568
网络的输出：step:9094 loss=0.000006 out_o1=0.102648 out_o2=0.887577
网络的输出：step:9093 loss=0.000006 out_o1=0.102638 out_o2=0.887585
网络的输出：step:9092 loss=0.000006 out_o1=0.102629 out_o2=0.887594
网络的输出：step:9091 loss=0.000006 out_o1=0.102619 out_o2=0.887603
网络的输出：step:9090 loss=0.000006 out_o1=0.102610 out_o2=0.887612
网络的输出：step:9089 loss=0.000006 out_o1=0.102600 out_o2=0.887620
网络的输出：step:9088 loss=0.000006 out_o1=0.102591 out_o2=0.887629
网络的输出：step:9087 loss=0.000006 out_o1=0.102582 out_o2=0.887638
网络的输出：step:9086 loss=0.000006 out_o1=0.102572 out_o2=0.887646
网络的输出：step:9085 loss=0.000006 out_o1=0.102563 out_o2=0.887655
网络的输出：step:9084 loss=0.000006 out_o1=0.102554 out_o2=0.887663
网络的输出：step:9083 loss=0.000006 out_o1=0.102544 out_o2=0.887672
网络的输出：step:9082 loss=0.000006 out_o1=0.102535 out_o2=0.887680
网络的输出：step:9081 loss=0.000006 out_o1=0.102526 out_o2=0.887689
网络的输出：step:9080 loss=0.000006 out_o1=0.102517 out_o2=0.887697
网络的输出：step:9079 loss=0.000006 out_o1=0.102508 out_o2=0.887706
网络的输出：step:9078 loss=0.000006 out_o1=0.102499 out_o2=0.887714
网络的输出：step:9077 loss=0.000006 out_o1=0.102490 out_o2=0.887722
网络的输出：step:9076 loss=0.000006 out_o1=0.102481 out_o2=0.887731
网络的输出：step:9075 loss=0.000006 out_o1=0.102472 out_o2=0.887739
网络的输出：step:9074 loss=0.000006 out_o1=0.102463 out_o2=0.887747
网络的输出：step:9073 loss=0.000006 out_o1=0.102454 out_o2=0.887755
网络的输出：step:9072 loss=0.000005 out_o1=0.102445 out_o2=0.887763
网络的输出：step:9071 loss=0.000005 out_o1=0.102437 out_o2=0.887772
网络的输出：step:9070 loss=0.000005 out_o1=0.102428 out_o2=0.887780
网络的输出：step:9069 loss=0.000005 out_o1=0.102419 out_o2=0.887788
网络的输出：step:9068 loss=0.000005 out_o1=0.102410 out_o2=0.887796
网络的输出：step:9067 loss=0.000005 out_o1=0.102402 out_o2=0.887804
网络的输出：step:9066 loss=0.000005 out_o1=0.102393 out_o2=0.887812
网络的输出：step:9065 loss=0.000005 out_o1=0.102385 out_o2=0.887820
网络的输出：step:9064 loss=0.000005 out_o1=0.102376 out_o2=0.887828
网络的输出：step:9063 loss=0.000005 out_o1=0.102367 out_o2=0.887836
网络的输出：step:9062 loss=0.000005 out_o1=0.102359 out_o2=0.887843
网络的输出：step:9061 loss=0.000005 out_o1=0.102350 out_o2=0.887851
网络的输出：step:9060 loss=0.000005 out_o1=0.102342 out_o2=0.887859
网络的输出：step:9059 loss=0.000005 out_o1=0.102334 out_o2=0.887867
网络的输出：step:9058 loss=0.000005 out_o1=0.102325 out_o2=0.887875
网络的输出：step:9057 loss=0.000005 out_o1=0.102317 out_o2=0.887882
网络的输出：step:9056 loss=0.000005 out_o1=0.102308 out_o2=0.887890
网络的输出：step:9055 loss=0.000005 out_o1=0.102300 out_o2=0.887898
网络的输出：step:9054 loss=0.000005 out_o1=0.102292 out_o2=0.887905
网络的输出：step:9053 loss=0.000005 out_o1=0.102284 out_o2=0.887913
网络的输出：step:9052 loss=0.000005 out_o1=0.102276 out_o2=0.887920
网络的输出：step:9051 loss=0.000005 out_o1=0.102267 out_o2=0.887928
网络的输出：step:9050 loss=0.000005 out_o1=0.102259 out_o2=0.887935
网络的输出：step:9049 loss=0.000005 out_o1=0.102251 out_o2=0.887943
网络的输出：step:9048 loss=0.000005 out_o1=0.102243 out_o2=0.887950
网络的输出：step:9047 loss=0.000005 out_o1=0.102235 out_o2=0.887958
网络的输出：step:9046 loss=0.000005 out_o1=0.102227 out_o2=0.887965
网络的输出：step:9045 loss=0.000005 out_o1=0.102219 out_o2=0.887973
网络的输出：step:9044 loss=0.000004 out_o1=0.102211 out_o2=0.887980
网络的输出：step:9043 loss=0.000004 out_o1=0.102203 out_o2=0.887987
网络的输出：step:9042 loss=0.000004 out_o1=0.102195 out_o2=0.887995
网络的输出：step:9041 loss=0.000004 out_o1=0.102187 out_o2=0.888002
网络的输出：step:9040 loss=0.000004 out_o1=0.102179 out_o2=0.888009
网络的输出：step:9039 loss=0.000004 out_o1=0.102172 out_o2=0.888016
网络的输出：step:9038 loss=0.000004 out_o1=0.102164 out_o2=0.888023
网络的输出：step:9037 loss=0.000004 out_o1=0.102156 out_o2=0.888031
网络的输出：step:9036 loss=0.000004 out_o1=0.102148 out_o2=0.888038
网络的输出：step:9035 loss=0.000004 out_o1=0.102141 out_o2=0.888045
网络的输出：step:9034 loss=0.000004 out_o1=0.102133 out_o2=0.888052
网络的输出：step:9033 loss=0.000004 out_o1=0.102125 out_o2=0.888059
网络的输出：step:9032 loss=0.000004 out_o1=0.102118 out_o2=0.888066
网络的输出：step:9031 loss=0.000004 out_o1=0.102110 out_o2=0.888073
网络的输出：step:9030 loss=0.000004 out_o1=0.102103 out_o2=0.888080
网络的输出：step:9029 loss=0.000004 out_o1=0.102095 out_o2=0.888087
网络的输出：step:9028 loss=0.000004 out_o1=0.102087 out_o2=0.888094
网络的输出：step:9027 loss=0.000004 out_o1=0.102080 out_o2=0.888101
网络的输出：step:9026 loss=0.000004 out_o1=0.102073 out_o2=0.888108
网络的输出：step:9025 loss=0.000004 out_o1=0.102065 out_o2=0.888114
网络的输出：step:9024 loss=0.000004 out_o1=0.102058 out_o2=0.888121
网络的输出：step:9023 loss=0.000004 out_o1=0.102050 out_o2=0.888128
网络的输出：step:9022 loss=0.000004 out_o1=0.102043 out_o2=0.888135
网络的输出：step:9021 loss=0.000004 out_o1=0.102036 out_o2=0.888141
网络的输出：step:9020 loss=0.000004 out_o1=0.102028 out_o2=0.888148
网络的输出：step:9019 loss=0.000004 out_o1=0.102021 out_o2=0.888155
网络的输出：step:9018 loss=0.000004 out_o1=0.102014 out_o2=0.888162
网络的输出：step:9017 loss=0.000004 out_o1=0.102007 out_o2=0.888168
网络的输出：step:9016 loss=0.000004 out_o1=0.102000 out_o2=0.888175
网络的输出：step:9015 loss=0.000004 out_o1=0.101992 out_o2=0.888181
网络的输出：step:9014 loss=0.000004 out_o1=0.101985 out_o2=0.888188
网络的输出：step:9013 loss=0.000004 out_o1=0.101978 out_o2=0.888194
网络的输出：step:9012 loss=0.000004 out_o1=0.101971 out_o2=0.888201
网络的输出：step:9011 loss=0.000004 out_o1=0.101964 out_o2=0.888207
网络的输出：step:9010 loss=0.000004 out_o1=0.101957 out_o2=0.888214
网络的输出：step:9009 loss=0.000003 out_o1=0.101950 out_o2=0.888220
网络的输出：step:9008 loss=0.000003 out_o1=0.101943 out_o2=0.888227
网络的输出：step:9007 loss=0.000003 out_o1=0.101936 out_o2=0.888233
网络的输出：step:9006 loss=0.000003 out_o1=0.101929 out_o2=0.888240
网络的输出：step:9005 loss=0.000003 out_o1=0.101922 out_o2=0.888246
网络的输出：step:9004 loss=0.000003 out_o1=0.101915 out_o2=0.888252
网络的输出：step:9003 loss=0.000003 out_o1=0.101909 out_o2=0.888259
网络的输出：step:9002 loss=0.000003 out_o1=0.101902 out_o2=0.888265
网络的输出：step:9001 loss=0.000003 out_o1=0.101895 out_o2=0.888271
网络的输出：step:9000 loss=0.000003 out_o1=0.101888 out_o2=0.888277
网络的输出：step:8999 loss=0.000003 out_o1=0.101881 out_o2=0.888284
网络的输出：step:8998 loss=0.000003 out_o1=0.101875 out_o2=0.888290
网络的输出：step:8997 loss=0.000003 out_o1=0.101868 out_o2=0.888296
网络的输出：step:8996 loss=0.000003 out_o1=0.101861 out_o2=0.888302
网络的输出：step:8995 loss=0.000003 out_o1=0.101855 out_o2=0.888308
网络的输出：step:8994 loss=0.000003 out_o1=0.101848 out_o2=0.888314
网络的输出：step:8993 loss=0.000003 out_o1=0.101841 out_o2=0.888320
网络的输出：step:8992 loss=0.000003 out_o1=0.101835 out_o2=0.888326
网络的输出：step:8991 loss=0.000003 out_o1=0.101828 out_o2=0.888332
网络的输出：step:8990 loss=0.000003 out_o1=0.101822 out_o2=0.888338
网络的输出：step:8989 loss=0.000003 out_o1=0.101815 out_o2=0.888344
网络的输出：step:8988 loss=0.000003 out_o1=0.101809 out_o2=0.888350
网络的输出：step:8987 loss=0.000003 out_o1=0.101802 out_o2=0.888356
网络的输出：step:8986 loss=0.000003 out_o1=0.101796 out_o2=0.888362
网络的输出：step:8985 loss=0.000003 out_o1=0.101789 out_o2=0.888368
网络的输出：step:8984 loss=0.000003 out_o1=0.101783 out_o2=0.888374
网络的输出：step:8983 loss=0.000003 out_o1=0.101777 out_o2=0.888380
网络的输出：step:8982 loss=0.000003 out_o1=0.101770 out_o2=0.888386
网络的输出：step:8981 loss=0.000003 out_o1=0.101764 out_o2=0.888391
网络的输出：step:8980 loss=0.000003 out_o1=0.101758 out_o2=0.888397
网络的输出：step:8979 loss=0.000003 out_o1=0.101752 out_o2=0.888403
网络的输出：step:8978 loss=0.000003 out_o1=0.101745 out_o2=0.888409
网络的输出：step:8977 loss=0.000003 out_o1=0.101739 out_o2=0.888414
网络的输出：step:8976 loss=0.000003 out_o1=0.101733 out_o2=0.888420
网络的输出：step:8975 loss=0.000003 out_o1=0.101727 out_o2=0.888426
网络的输出：step:8974 loss=0.000003 out_o1=0.101721 out_o2=0.888431
网络的输出：step:8973 loss=0.000003 out_o1=0.101714 out_o2=0.888437
网络的输出：step:8972 loss=0.000003 out_o1=0.101708 out_o2=0.888443
网络的输出：step:8971 loss=0.000003 out_o1=0.101702 out_o2=0.888448
网络的输出：step:8970 loss=0.000003 out_o1=0.101696 out_o2=0.888454
网络的输出：step:8969 loss=0.000003 out_o1=0.101690 out_o2=0.888459
网络的输出：step:8968 loss=0.000003 out_o1=0.101684 out_o2=0.888465
网络的输出：step:8967 loss=0.000003 out_o1=0.101678 out_o2=0.888470
网络的输出：step:8966 loss=0.000003 out_o1=0.101672 out_o2=0.888476
网络的输出：step:8965 loss=0.000003 out_o1=0.101666 out_o2=0.888481
网络的输出：step:8964 loss=0.000003 out_o1=0.101660 out_o2=0.888487
网络的输出：step:8963 loss=0.000003 out_o1=0.101654 out_o2=0.888492
网络的输出：step:8962 loss=0.000002 out_o1=0.101648 out_o2=0.888498
网络的输出：step:8961 loss=0.000002 out_o1=0.101642 out_o2=0.888503
网络的输出：step:8960 loss=0.000002 out_o1=0.101637 out_o2=0.888509
网络的输出：step:8959 loss=0.000002 out_o1=0.101631 out_o2=0.888514
网络的输出：step:8958 loss=0.000002 out_o1=0.101625 out_o2=0.888519
网络的输出：step:8957 loss=0.000002 out_o1=0.101619 out_o2=0.888525
网络的输出：step:8956 loss=0.000002 out_o1=0.101613 out_o2=0.888530
网络的输出：step:8955 loss=0.000002 out_o1=0.101608 out_o2=0.888535
网络的输出：step:8954 loss=0.000002 out_o1=0.101602 out_o2=0.888540
网络的输出：step:8953 loss=0.000002 out_o1=0.101596 out_o2=0.888546
网络的输出：step:8952 loss=0.000002 out_o1=0.101591 out_o2=0.888551
网络的输出：step:8951 loss=0.000002 out_o1=0.101585 out_o2=0.888556
网络的输出：step:8950 loss=0.000002 out_o1=0.101579 out_o2=0.888561
网络的输出：step:8949 loss=0.000002 out_o1=0.101574 out_o2=0.888566
网络的输出：step:8948 loss=0.000002 out_o1=0.101568 out_o2=0.888571
网络的输出：step:8947 loss=0.000002 out_o1=0.101562 out_o2=0.888577
网络的输出：step:8946 loss=0.000002 out_o1=0.101557 out_o2=0.888582
网络的输出：step:8945 loss=0.000002 out_o1=0.101551 out_o2=0.888587
网络的输出：step:8944 loss=0.000002 out_o1=0.101546 out_o2=0.888592
网络的输出：step:8943 loss=0.000002 out_o1=0.101540 out_o2=0.888597
网络的输出：step:8942 loss=0.000002 out_o1=0.101535 out_o2=0.888602
网络的输出：step:8941 loss=0.000002 out_o1=0.101529 out_o2=0.888607
网络的输出：step:8940 loss=0.000002 out_o1=0.101524 out_o2=0.888612
网络的输出：step:8939 loss=0.000002 out_o1=0.101519 out_o2=0.888617
网络的输出：step:8938 loss=0.000002 out_o1=0.101513 out_o2=0.888622
网络的输出：step:8937 loss=0.000002 out_o1=0.101508 out_o2=0.888627
网络的输出：step:8936 loss=0.000002 out_o1=0.101502 out_o2=0.888632
网络的输出：step:8935 loss=0.000002 out_o1=0.101497 out_o2=0.888637
网络的输出：step:8934 loss=0.000002 out_o1=0.101492 out_o2=0.888641
网络的输出：step:8933 loss=0.000002 out_o1=0.101486 out_o2=0.888646
网络的输出：step:8932 loss=0.000002 out_o1=0.101481 out_o2=0.888651
网络的输出：step:8931 loss=0.000002 out_o1=0.101476 out_o2=0.888656
网络的输出：step:8930 loss=0.000002 out_o1=0.101471 out_o2=0.888661
网络的输出：step:8929 loss=0.000002 out_o1=0.101465 out_o2=0.888666
网络的输出：step:8928 loss=0.000002 out_o1=0.101460 out_o2=0.888670
网络的输出：step:8927 loss=0.000002 out_o1=0.101455 out_o2=0.888675
网络的输出：step:8926 loss=0.000002 out_o1=0.101450 out_o2=0.888680
网络的输出：step:8925 loss=0.000002 out_o1=0.101445 out_o2=0.888685
网络的输出：step:8924 loss=0.000002 out_o1=0.101440 out_o2=0.888689
网络的输出：step:8923 loss=0.000002 out_o1=0.101434 out_o2=0.888694
网络的输出：step:8922 loss=0.000002 out_o1=0.101429 out_o2=0.888699
网络的输出：step:8921 loss=0.000002 out_o1=0.101424 out_o2=0.888703
网络的输出：step:8920 loss=0.000002 out_o1=0.101419 out_o2=0.888708
网络的输出：step:8919 loss=0.000002 out_o1=0.101414 out_o2=0.888713
网络的输出：step:8918 loss=0.000002 out_o1=0.101409 out_o2=0.888717
网络的输出：step:8917 loss=0.000002 out_o1=0.101404 out_o2=0.888722
网络的输出：step:8916 loss=0.000002 out_o1=0.101399 out_o2=0.888726
网络的输出：step:8915 loss=0.000002 out_o1=0.101394 out_o2=0.888731
网络的输出：step:8914 loss=0.000002 out_o1=0.101389 out_o2=0.888735
网络的输出：step:8913 loss=0.000002 out_o1=0.101384 out_o2=0.888740
网络的输出：step:8912 loss=0.000002 out_o1=0.101379 out_o2=0.888744
网络的输出：step:8911 loss=0.000002 out_o1=0.101375 out_o2=0.888749
网络的输出：step:8910 loss=0.000002 out_o1=0.101370 out_o2=0.888753
网络的输出：step:8909 loss=0.000002 out_o1=0.101365 out_o2=0.888758
网络的输出：step:8908 loss=0.000002 out_o1=0.101360 out_o2=0.888762
网络的输出：step:8907 loss=0.000002 out_o1=0.101355 out_o2=0.888767
网络的输出：step:8906 loss=0.000002 out_o1=0.101350 out_o2=0.888771
网络的输出：step:8905 loss=0.000002 out_o1=0.101346 out_o2=0.888776
网络的输出：step:8904 loss=0.000002 out_o1=0.101341 out_o2=0.888780
网络的输出：step:8903 loss=0.000002 out_o1=0.101336 out_o2=0.888784
网络的输出：step:8902 loss=0.000002 out_o1=0.101331 out_o2=0.888789
网络的输出：step:8901 loss=0.000002 out_o1=0.101327 out_o2=0.888793
网络的输出：step:8900 loss=0.000002 out_o1=0.101322 out_o2=0.888797
网络的输出：step:8899 loss=0.000002 out_o1=0.101317 out_o2=0.888802
网络的输出：step:8898 loss=0.000002 out_o1=0.101312 out_o2=0.888806
网络的输出：step:8897 loss=0.000002 out_o1=0.101308 out_o2=0.888810
网络的输出：step:8896 loss=0.000002 out_o1=0.101303 out_o2=0.888814
网络的输出：step:8895 loss=0.000002 out_o1=0.101299 out_o2=0.888819
网络的输出：step:8894 loss=0.000002 out_o1=0.101294 out_o2=0.888823
网络的输出：step:8893 loss=0.000002 out_o1=0.101289 out_o2=0.888827
网络的输出：step:8892 loss=0.000002 out_o1=0.101285 out_o2=0.888831
网络的输出：step:8891 loss=0.000001 out_o1=0.101280 out_o2=0.888835
网络的输出：step:8890 loss=0.000001 out_o1=0.101276 out_o2=0.888839
网络的输出：step:8889 loss=0.000001 out_o1=0.101271 out_o2=0.888844
网络的输出：step:8888 loss=0.000001 out_o1=0.101267 out_o2=0.888848
网络的输出：step:8887 loss=0.000001 out_o1=0.101262 out_o2=0.888852
网络的输出：step:8886 loss=0.000001 out_o1=0.101258 out_o2=0.888856
网络的输出：step:8885 loss=0.000001 out_o1=0.101253 out_o2=0.888860
网络的输出：step:8884 loss=0.000001 out_o1=0.101249 out_o2=0.888864
网络的输出：step:8883 loss=0.000001 out_o1=0.101244 out_o2=0.888868
网络的输出：step:8882 loss=0.000001 out_o1=0.101240 out_o2=0.888872
网络的输出：step:8881 loss=0.000001 out_o1=0.101236 out_o2=0.888876
网络的输出：step:8880 loss=0.000001 out_o1=0.101231 out_o2=0.888880
网络的输出：step:8879 loss=0.000001 out_o1=0.101227 out_o2=0.888884
网络的输出：step:8878 loss=0.000001 out_o1=0.101222 out_o2=0.888888
网络的输出：step:8877 loss=0.000001 out_o1=0.101218 out_o2=0.888892
网络的输出：step:8876 loss=0.000001 out_o1=0.101214 out_o2=0.888896
网络的输出：step:8875 loss=0.000001 out_o1=0.101210 out_o2=0.888900
网络的输出：step:8874 loss=0.000001 out_o1=0.101205 out_o2=0.888904
网络的输出：step:8873 loss=0.000001 out_o1=0.101201 out_o2=0.888908
网络的输出：step:8872 loss=0.000001 out_o1=0.101197 out_o2=0.888912
网络的输出：step:8871 loss=0.000001 out_o1=0.101192 out_o2=0.888916
网络的输出：step:8870 loss=0.000001 out_o1=0.101188 out_o2=0.888919
网络的输出：step:8869 loss=0.000001 out_o1=0.101184 out_o2=0.888923
网络的输出：step:8868 loss=0.000001 out_o1=0.101180 out_o2=0.888927
网络的输出：step:8867 loss=0.000001 out_o1=0.101176 out_o2=0.888931
网络的输出：step:8866 loss=0.000001 out_o1=0.101172 out_o2=0.888935
网络的输出：step:8865 loss=0.000001 out_o1=0.101167 out_o2=0.888939
网络的输出：step:8864 loss=0.000001 out_o1=0.101163 out_o2=0.888942
网络的输出：step:8863 loss=0.000001 out_o1=0.101159 out_o2=0.888946
网络的输出：step:8862 loss=0.000001 out_o1=0.101155 out_o2=0.888950
网络的输出：step:8861 loss=0.000001 out_o1=0.101151 out_o2=0.888954
网络的输出：step:8860 loss=0.000001 out_o1=0.101147 out_o2=0.888957
网络的输出：step:8859 loss=0.000001 out_o1=0.101143 out_o2=0.888961
网络的输出：step:8858 loss=0.000001 out_o1=0.101139 out_o2=0.888965
网络的输出：step:8857 loss=0.000001 out_o1=0.101135 out_o2=0.888968
网络的输出：step:8856 loss=0.000001 out_o1=0.101131 out_o2=0.888972
网络的输出：step:8855 loss=0.000001 out_o1=0.101127 out_o2=0.888976
网络的输出：step:8854 loss=0.000001 out_o1=0.101123 out_o2=0.888979
网络的输出：step:8853 loss=0.000001 out_o1=0.101119 out_o2=0.888983
网络的输出：step:8852 loss=0.000001 out_o1=0.101115 out_o2=0.888987
网络的输出：step:8851 loss=0.000001 out_o1=0.101111 out_o2=0.888990
网络的输出：step:8850 loss=0.000001 out_o1=0.101107 out_o2=0.888994
网络的输出：step:8849 loss=0.000001 out_o1=0.101103 out_o2=0.888997
网络的输出：step:8848 loss=0.000001 out_o1=0.101099 out_o2=0.889001
网络的输出：step:8847 loss=0.000001 out_o1=0.101095 out_o2=0.889005
网络的输出：step:8846 loss=0.000001 out_o1=0.101091 out_o2=0.889008
网络的输出：step:8845 loss=0.000001 out_o1=0.101087 out_o2=0.889012
网络的输出：step:8844 loss=0.000001 out_o1=0.101084 out_o2=0.889015
网络的输出：step:8843 loss=0.000001 out_o1=0.101080 out_o2=0.889019
网络的输出：step:8842 loss=0.000001 out_o1=0.101076 out_o2=0.889022
网络的输出：step:8841 loss=0.000001 out_o1=0.101072 out_o2=0.889026
网络的输出：step:8840 loss=0.000001 out_o1=0.101068 out_o2=0.889029
网络的输出：step:8839 loss=0.000001 out_o1=0.101065 out_o2=0.889033
网络的输出：step:8838 loss=0.000001 out_o1=0.101061 out_o2=0.889036
网络的输出：step:8837 loss=0.000001 out_o1=0.101057 out_o2=0.889039
网络的输出：step:8836 loss=0.000001 out_o1=0.101053 out_o2=0.889043
网络的输出：step:8835 loss=0.000001 out_o1=0.101050 out_o2=0.889046
网络的输出：step:8834 loss=0.000001 out_o1=0.101046 out_o2=0.889050
网络的输出：step:8833 loss=0.000001 out_o1=0.101042 out_o2=0.889053
网络的输出：step:8832 loss=0.000001 out_o1=0.101039 out_o2=0.889056
网络的输出：step:8831 loss=0.000001 out_o1=0.101035 out_o2=0.889060
网络的输出：step:8830 loss=0.000001 out_o1=0.101031 out_o2=0.889063
网络的输出：step:8829 loss=0.000001 out_o1=0.101028 out_o2=0.889066
网络的输出：step:8828 loss=0.000001 out_o1=0.101024 out_o2=0.889070
网络的输出：step:8827 loss=0.000001 out_o1=0.101020 out_o2=0.889073
网络的输出：step:8826 loss=0.000001 out_o1=0.101017 out_o2=0.889076
网络的输出：step:8825 loss=0.000001 out_o1=0.101013 out_o2=0.889080
网络的输出：step:8824 loss=0.000001 out_o1=0.101010 out_o2=0.889083
网络的输出：step:8823 loss=0.000001 out_o1=0.101006 out_o2=0.889086
网络的输出：step:8822 loss=0.000001 out_o1=0.101002 out_o2=0.889089
网络的输出：step:8821 loss=0.000001 out_o1=0.100999 out_o2=0.889093
网络的输出：step:8820 loss=0.000001 out_o1=0.100995 out_o2=0.889096
网络的输出：step:8819 loss=0.000001 out_o1=0.100992 out_o2=0.889099
网络的输出：step:8818 loss=0.000001 out_o1=0.100988 out_o2=0.889102
网络的输出：step:8817 loss=0.000001 out_o1=0.100985 out_o2=0.889105
网络的输出：step:8816 loss=0.000001 out_o1=0.100981 out_o2=0.889109
网络的输出：step:8815 loss=0.000001 out_o1=0.100978 out_o2=0.889112
网络的输出：step:8814 loss=0.000001 out_o1=0.100974 out_o2=0.889115
网络的输出：step:8813 loss=0.000001 out_o1=0.100971 out_o2=0.889118
网络的输出：step:8812 loss=0.000001 out_o1=0.100968 out_o2=0.889121
网络的输出：step:8811 loss=0.000001 out_o1=0.100964 out_o2=0.889124
网络的输出：step:8810 loss=0.000001 out_o1=0.100961 out_o2=0.889127
网络的输出：step:8809 loss=0.000001 out_o1=0.100957 out_o2=0.889130
网络的输出：step:8808 loss=0.000001 out_o1=0.100954 out_o2=0.889134
网络的输出：step:8807 loss=0.000001 out_o1=0.100951 out_o2=0.889137
网络的输出：step:8806 loss=0.000001 out_o1=0.100947 out_o2=0.889140
网络的输出：step:8805 loss=0.000001 out_o1=0.100944 out_o2=0.889143
网络的输出：step:8804 loss=0.000001 out_o1=0.100941 out_o2=0.889146
网络的输出：step:8803 loss=0.000001 out_o1=0.100937 out_o2=0.889149
网络的输出：step:8802 loss=0.000001 out_o1=0.100934 out_o2=0.889152
网络的输出：step:8801 loss=0.000001 out_o1=0.100931 out_o2=0.889155
网络的输出：step:8800 loss=0.000001 out_o1=0.100927 out_o2=0.889158
网络的输出：step:8799 loss=0.000001 out_o1=0.100924 out_o2=0.889161
网络的输出：step:8798 loss=0.000001 out_o1=0.100921 out_o2=0.889164
网络的输出：step:8797 loss=0.000001 out_o1=0.100918 out_o2=0.889167
网络的输出：step:8796 loss=0.000001 out_o1=0.100914 out_o2=0.889170
网络的输出：step:8795 loss=0.000001 out_o1=0.100911 out_o2=0.889173
网络的输出：step:8794 loss=0.000001 out_o1=0.100908 out_o2=0.889176
网络的输出：step:8793 loss=0.000001 out_o1=0.100905 out_o2=0.889179
网络的输出：step:8792 loss=0.000001 out_o1=0.100902 out_o2=0.889181
网络的输出：step:8791 loss=0.000001 out_o1=0.100898 out_o2=0.889184
网络的输出：step:8790 loss=0.000001 out_o1=0.100895 out_o2=0.889187
网络的输出：step:8789 loss=0.000001 out_o1=0.100892 out_o2=0.889190
网络的输出：step:8788 loss=0.000001 out_o1=0.100889 out_o2=0.889193
网络的输出：step:8787 loss=0.000001 out_o1=0.100886 out_o2=0.889196
网络的输出：step:8786 loss=0.000001 out_o1=0.100883 out_o2=0.889199
网络的输出：step:8785 loss=0.000001 out_o1=0.100879 out_o2=0.889202
网络的输出：step:8784 loss=0.000001 out_o1=0.100876 out_o2=0.889204
网络的输出：step:8783 loss=0.000001 out_o1=0.100873 out_o2=0.889207
网络的输出：step:8782 loss=0.000001 out_o1=0.100870 out_o2=0.889210
网络的输出：step:8781 loss=0.000001 out_o1=0.100867 out_o2=0.889213
网络的输出：step:8780 loss=0.000001 out_o1=0.100864 out_o2=0.889216
网络的输出：step:8779 loss=0.000001 out_o1=0.100861 out_o2=0.889218
网络的输出：step:8778 loss=0.000001 out_o1=0.100858 out_o2=0.889221
网络的输出：step:8777 loss=0.000001 out_o1=0.100855 out_o2=0.889224
网络的输出：step:8776 loss=0.000001 out_o1=0.100852 out_o2=0.889227
网络的输出：step:8775 loss=0.000001 out_o1=0.100849 out_o2=0.889229
网络的输出：step:8774 loss=0.000001 out_o1=0.100846 out_o2=0.889232
网络的输出：step:8773 loss=0.000001 out_o1=0.100843 out_o2=0.889235
网络的输出：step:8772 loss=0.000001 out_o1=0.100840 out_o2=0.889238
网络的输出：step:8771 loss=0.000001 out_o1=0.100837 out_o2=0.889240
网络的输出：step:8770 loss=0.000001 out_o1=0.100834 out_o2=0.889243
网络的输出：step:8769 loss=0.000001 out_o1=0.100831 out_o2=0.889246
网络的输出：step:8768 loss=0.000001 out_o1=0.100828 out_o2=0.889248
网络的输出：step:8767 loss=0.000001 out_o1=0.100825 out_o2=0.889251
网络的输出：step:8766 loss=0.000001 out_o1=0.100822 out_o2=0.889254
网络的输出：step:8765 loss=0.000001 out_o1=0.100819 out_o2=0.889256
网络的输出：step:8764 loss=0.000001 out_o1=0.100817 out_o2=0.889259
网络的输出：step:8763 loss=0.000001 out_o1=0.100814 out_o2=0.889261
网络的输出：step:8762 loss=0.000001 out_o1=0.100811 out_o2=0.889264
网络的输出：step:8761 loss=0.000001 out_o1=0.100808 out_o2=0.889267
网络的输出：step:8760 loss=0.000001 out_o1=0.100805 out_o2=0.889269
网络的输出：step:8759 loss=0.000001 out_o1=0.100802 out_o2=0.889272
网络的输出：step:8758 loss=0.000001 out_o1=0.100799 out_o2=0.889274
网络的输出：step:8757 loss=0.000001 out_o1=0.100797 out_o2=0.889277
网络的输出：step:8756 loss=0.000001 out_o1=0.100794 out_o2=0.889280
网络的输出：step:8755 loss=0.000001 out_o1=0.100791 out_o2=0.889282
网络的输出：step:8754 loss=0.000001 out_o1=0.100788 out_o2=0.889285
网络的输出：step:8753 loss=0.000001 out_o1=0.100785 out_o2=0.889287
网络的输出：step:8752 loss=0.000001 out_o1=0.100783 out_o2=0.889290
网络的输出：step:8751 loss=0.000001 out_o1=0.100780 out_o2=0.889292
网络的输出：step:8750 loss=0.000001 out_o1=0.100777 out_o2=0.889295
网络的输出：step:8749 loss=0.000001 out_o1=0.100774 out_o2=0.889297
网络的输出：step:8748 loss=0.000001 out_o1=0.100772 out_o2=0.889300
网络的输出：step:8747 loss=0.000001 out_o1=0.100769 out_o2=0.889302
网络的输出：step:8746 loss=0.000001 out_o1=0.100766 out_o2=0.889305
网络的输出：step:8745 loss=0.000001 out_o1=0.100764 out_o2=0.889307
网络的输出：step:8744 loss=0.000001 out_o1=0.100761 out_o2=0.889310
网络的输出：step:8743 loss=0.000001 out_o1=0.100758 out_o2=0.889312
网络的输出：step:8742 loss=0.000001 out_o1=0.100756 out_o2=0.889314
网络的输出：step:8741 loss=0.000001 out_o1=0.100753 out_o2=0.889317
网络的输出：step:8740 loss=0.000001 out_o1=0.100750 out_o2=0.889319
网络的输出：step:8739 loss=0.000001 out_o1=0.100748 out_o2=0.889322
网络的输出：step:8738 loss=0.000001 out_o1=0.100745 out_o2=0.889324
网络的输出：step:8737 loss=0.000001 out_o1=0.100742 out_o2=0.889326
网络的输出：step:8736 loss=0.000000 out_o1=0.100740 out_o2=0.889329
网络的输出：step:8735 loss=0.000000 out_o1=0.100737 out_o2=0.889331
网络的输出：step:8734 loss=0.000000 out_o1=0.100735 out_o2=0.889334
网络的输出：step:8733 loss=0.000000 out_o1=0.100732 out_o2=0.889336
网络的输出：step:8732 loss=0.000000 out_o1=0.100729 out_o2=0.889338
网络的输出：step:8731 loss=0.000000 out_o1=0.100727 out_o2=0.889341
网络的输出：step:8730 loss=0.000000 out_o1=0.100724 out_o2=0.889343
网络的输出：step:8729 loss=0.000000 out_o1=0.100722 out_o2=0.889345
网络的输出：step:8728 loss=0.000000 out_o1=0.100719 out_o2=0.889348
网络的输出：step:8727 loss=0.000000 out_o1=0.100717 out_o2=0.889350
网络的输出：step:8726 loss=0.000000 out_o1=0.100714 out_o2=0.889352
网络的输出：step:8725 loss=0.000000 out_o1=0.100712 out_o2=0.889355
网络的输出：step:8724 loss=0.000000 out_o1=0.100709 out_o2=0.889357
网络的输出：step:8723 loss=0.000000 out_o1=0.100707 out_o2=0.889359
网络的输出：step:8722 loss=0.000000 out_o1=0.100704 out_o2=0.889361
网络的输出：step:8721 loss=0.000000 out_o1=0.100702 out_o2=0.889364
网络的输出：step:8720 loss=0.000000 out_o1=0.100699 out_o2=0.889366
网络的输出：step:8719 loss=0.000000 out_o1=0.100697 out_o2=0.889368
网络的输出：step:8718 loss=0.000000 out_o1=0.100694 out_o2=0.889370
网络的输出：step:8717 loss=0.000000 out_o1=0.100692 out_o2=0.889373
网络的输出：step:8716 loss=0.000000 out_o1=0.100689 out_o2=0.889375
网络的输出：step:8715 loss=0.000000 out_o1=0.100687 out_o2=0.889377
网络的输出：step:8714 loss=0.000000 out_o1=0.100685 out_o2=0.889379
网络的输出：step:8713 loss=0.000000 out_o1=0.100682 out_o2=0.889381
网络的输出：step:8712 loss=0.000000 out_o1=0.100680 out_o2=0.889384
网络的输出：step:8711 loss=0.000000 out_o1=0.100677 out_o2=0.889386
网络的输出：step:8710 loss=0.000000 out_o1=0.100675 out_o2=0.889388
网络的输出：step:8709 loss=0.000000 out_o1=0.100673 out_o2=0.889390
网络的输出：step:8708 loss=0.000000 out_o1=0.100670 out_o2=0.889392
网络的输出：step:8707 loss=0.000000 out_o1=0.100668 out_o2=0.889394
网络的输出：step:8706 loss=0.000000 out_o1=0.100666 out_o2=0.889396
网络的输出：step:8705 loss=0.000000 out_o1=0.100663 out_o2=0.889399
网络的输出：step:8704 loss=0.000000 out_o1=0.100661 out_o2=0.889401
网络的输出：step:8703 loss=0.000000 out_o1=0.100659 out_o2=0.889403
网络的输出：step:8702 loss=0.000000 out_o1=0.100656 out_o2=0.889405
网络的输出：step:8701 loss=0.000000 out_o1=0.100654 out_o2=0.889407
网络的输出：step:8700 loss=0.000000 out_o1=0.100652 out_o2=0.889409
网络的输出：step:8699 loss=0.000000 out_o1=0.100649 out_o2=0.889411
网络的输出：step:8698 loss=0.000000 out_o1=0.100647 out_o2=0.889413
网络的输出：step:8697 loss=0.000000 out_o1=0.100645 out_o2=0.889415
网络的输出：step:8696 loss=0.000000 out_o1=0.100642 out_o2=0.889417
网络的输出：step:8695 loss=0.000000 out_o1=0.100640 out_o2=0.889420
网络的输出：step:8694 loss=0.000000 out_o1=0.100638 out_o2=0.889422
网络的输出：step:8693 loss=0.000000 out_o1=0.100636 out_o2=0.889424
网络的输出：step:8692 loss=0.000000 out_o1=0.100633 out_o2=0.889426
网络的输出：step:8691 loss=0.000000 out_o1=0.100631 out_o2=0.889428
网络的输出：step:8690 loss=0.000000 out_o1=0.100629 out_o2=0.889430
网络的输出：step:8689 loss=0.000000 out_o1=0.100627 out_o2=0.889432
网络的输出：step:8688 loss=0.000000 out_o1=0.100625 out_o2=0.889434
网络的输出：step:8687 loss=0.000000 out_o1=0.100622 out_o2=0.889436
网络的输出：step:8686 loss=0.000000 out_o1=0.100620 out_o2=0.889438
网络的输出：step:8685 loss=0.000000 out_o1=0.100618 out_o2=0.889440
网络的输出：step:8684 loss=0.000000 out_o1=0.100616 out_o2=0.889442
网络的输出：step:8683 loss=0.000000 out_o1=0.100614 out_o2=0.889444
网络的输出：step:8682 loss=0.000000 out_o1=0.100612 out_o2=0.889446
网络的输出：step:8681 loss=0.000000 out_o1=0.100609 out_o2=0.889448
网络的输出：step:8680 loss=0.000000 out_o1=0.100607 out_o2=0.889449
网络的输出：step:8679 loss=0.000000 out_o1=0.100605 out_o2=0.889451
网络的输出：step:8678 loss=0.000000 out_o1=0.100603 out_o2=0.889453
网络的输出：step:8677 loss=0.000000 out_o1=0.100601 out_o2=0.889455
网络的输出：step:8676 loss=0.000000 out_o1=0.100599 out_o2=0.889457
网络的输出：step:8675 loss=0.000000 out_o1=0.100597 out_o2=0.889459
网络的输出：step:8674 loss=0.000000 out_o1=0.100595 out_o2=0.889461
网络的输出：step:8673 loss=0.000000 out_o1=0.100592 out_o2=0.889463
网络的输出：step:8672 loss=0.000000 out_o1=0.100590 out_o2=0.889465
网络的输出：step:8671 loss=0.000000 out_o1=0.100588 out_o2=0.889467
网络的输出：step:8670 loss=0.000000 out_o1=0.100586 out_o2=0.889469
网络的输出：step:8669 loss=0.000000 out_o1=0.100584 out_o2=0.889470
网络的输出：step:8668 loss=0.000000 out_o1=0.100582 out_o2=0.889472
网络的输出：step:8667 loss=0.000000 out_o1=0.100580 out_o2=0.889474
网络的输出：step:8666 loss=0.000000 out_o1=0.100578 out_o2=0.889476
网络的输出：step:8665 loss=0.000000 out_o1=0.100576 out_o2=0.889478
网络的输出：step:8664 loss=0.000000 out_o1=0.100574 out_o2=0.889480
网络的输出：step:8663 loss=0.000000 out_o1=0.100572 out_o2=0.889482
网络的输出：step:8662 loss=0.000000 out_o1=0.100570 out_o2=0.889483
网络的输出：step:8661 loss=0.000000 out_o1=0.100568 out_o2=0.889485
网络的输出：step:8660 loss=0.000000 out_o1=0.100566 out_o2=0.889487
网络的输出：step:8659 loss=0.000000 out_o1=0.100564 out_o2=0.889489
网络的输出：step:8658 loss=0.000000 out_o1=0.100562 out_o2=0.889491
网络的输出：step:8657 loss=0.000000 out_o1=0.100560 out_o2=0.889492
网络的输出：step:8656 loss=0.000000 out_o1=0.100558 out_o2=0.889494
网络的输出：step:8655 loss=0.000000 out_o1=0.100556 out_o2=0.889496
网络的输出：step:8654 loss=0.000000 out_o1=0.100554 out_o2=0.889498
网络的输出：step:8653 loss=0.000000 out_o1=0.100552 out_o2=0.889500
网络的输出：step:8652 loss=0.000000 out_o1=0.100550 out_o2=0.889501
网络的输出：step:8651 loss=0.000000 out_o1=0.100548 out_o2=0.889503
网络的输出：step:8650 loss=0.000000 out_o1=0.100546 out_o2=0.889505
网络的输出：step:8649 loss=0.000000 out_o1=0.100544 out_o2=0.889507
网络的输出：step:8648 loss=0.000000 out_o1=0.100543 out_o2=0.889508
网络的输出：step:8647 loss=0.000000 out_o1=0.100541 out_o2=0.889510
网络的输出：step:8646 loss=0.000000 out_o1=0.100539 out_o2=0.889512
网络的输出：step:8645 loss=0.000000 out_o1=0.100537 out_o2=0.889513
网络的输出：step:8644 loss=0.000000 out_o1=0.100535 out_o2=0.889515
网络的输出：step:8643 loss=0.000000 out_o1=0.100533 out_o2=0.889517
网络的输出：step:8642 loss=0.000000 out_o1=0.100531 out_o2=0.889519
网络的输出：step:8641 loss=0.000000 out_o1=0.100529 out_o2=0.889520
网络的输出：step:8640 loss=0.000000 out_o1=0.100528 out_o2=0.889522
网络的输出：step:8639 loss=0.000000 out_o1=0.100526 out_o2=0.889524
网络的输出：step:8638 loss=0.000000 out_o1=0.100524 out_o2=0.889525
网络的输出：step:8637 loss=0.000000 out_o1=0.100522 out_o2=0.889527
网络的输出：step:8636 loss=0.000000 out_o1=0.100520 out_o2=0.889529
网络的输出：step:8635 loss=0.000000 out_o1=0.100518 out_o2=0.889530
网络的输出：step:8634 loss=0.000000 out_o1=0.100516 out_o2=0.889532
网络的输出：step:8633 loss=0.000000 out_o1=0.100515 out_o2=0.889534
网络的输出：step:8632 loss=0.000000 out_o1=0.100513 out_o2=0.889535
网络的输出：step:8631 loss=0.000000 out_o1=0.100511 out_o2=0.889537
网络的输出：step:8630 loss=0.000000 out_o1=0.100509 out_o2=0.889539
网络的输出：step:8629 loss=0.000000 out_o1=0.100507 out_o2=0.889540
网络的输出：step:8628 loss=0.000000 out_o1=0.100506 out_o2=0.889542
网络的输出：step:8627 loss=0.000000 out_o1=0.100504 out_o2=0.889543
网络的输出：step:8626 loss=0.000000 out_o1=0.100502 out_o2=0.889545
网络的输出：step:8625 loss=0.000000 out_o1=0.100500 out_o2=0.889547
网络的输出：step:8624 loss=0.000000 out_o1=0.100499 out_o2=0.889548
网络的输出：step:8623 loss=0.000000 out_o1=0.100497 out_o2=0.889550
网络的输出：step:8622 loss=0.000000 out_o1=0.100495 out_o2=0.889551
网络的输出：step:8621 loss=0.000000 out_o1=0.100493 out_o2=0.889553
网络的输出：step:8620 loss=0.000000 out_o1=0.100492 out_o2=0.889555
网络的输出：step:8619 loss=0.000000 out_o1=0.100490 out_o2=0.889556
网络的输出：step:8618 loss=0.000000 out_o1=0.100488 out_o2=0.889558
网络的输出：step:8617 loss=0.000000 out_o1=0.100487 out_o2=0.889559
网络的输出：step:8616 loss=0.000000 out_o1=0.100485 out_o2=0.889561
网络的输出：step:8615 loss=0.000000 out_o1=0.100483 out_o2=0.889562
网络的输出：step:8614 loss=0.000000 out_o1=0.100481 out_o2=0.889564
网络的输出：step:8613 loss=0.000000 out_o1=0.100480 out_o2=0.889565
网络的输出：step:8612 loss=0.000000 out_o1=0.100478 out_o2=0.889567
网络的输出：step:8611 loss=0.000000 out_o1=0.100476 out_o2=0.889568
网络的输出：step:8610 loss=0.000000 out_o1=0.100475 out_o2=0.889570
网络的输出：step:8609 loss=0.000000 out_o1=0.100473 out_o2=0.889572
网络的输出：step:8608 loss=0.000000 out_o1=0.100471 out_o2=0.889573
网络的输出：step:8607 loss=0.000000 out_o1=0.100470 out_o2=0.889575
网络的输出：step:8606 loss=0.000000 out_o1=0.100468 out_o2=0.889576
网络的输出：step:8605 loss=0.000000 out_o1=0.100466 out_o2=0.889578
网络的输出：step:8604 loss=0.000000 out_o1=0.100465 out_o2=0.889579
网络的输出：step:8603 loss=0.000000 out_o1=0.100463 out_o2=0.889580
网络的输出：step:8602 loss=0.000000 out_o1=0.100462 out_o2=0.889582
网络的输出：step:8601 loss=0.000000 out_o1=0.100460 out_o2=0.889583
网络的输出：step:8600 loss=0.000000 out_o1=0.100458 out_o2=0.889585
网络的输出：step:8599 loss=0.000000 out_o1=0.100457 out_o2=0.889586
网络的输出：step:8598 loss=0.000000 out_o1=0.100455 out_o2=0.889588
网络的输出：step:8597 loss=0.000000 out_o1=0.100453 out_o2=0.889589
网络的输出：step:8596 loss=0.000000 out_o1=0.100452 out_o2=0.889591
网络的输出：step:8595 loss=0.000000 out_o1=0.100450 out_o2=0.889592
网络的输出：step:8594 loss=0.000000 out_o1=0.100449 out_o2=0.889594
网络的输出：step:8593 loss=0.000000 out_o1=0.100447 out_o2=0.889595
网络的输出：step:8592 loss=0.000000 out_o1=0.100446 out_o2=0.889596
网络的输出：step:8591 loss=0.000000 out_o1=0.100444 out_o2=0.889598
网络的输出：step:8590 loss=0.000000 out_o1=0.100442 out_o2=0.889599
网络的输出：step:8589 loss=0.000000 out_o1=0.100441 out_o2=0.889601
网络的输出：step:8588 loss=0.000000 out_o1=0.100439 out_o2=0.889602
网络的输出：step:8587 loss=0.000000 out_o1=0.100438 out_o2=0.889603
网络的输出：step:8586 loss=0.000000 out_o1=0.100436 out_o2=0.889605
网络的输出：step:8585 loss=0.000000 out_o1=0.100435 out_o2=0.889606
网络的输出：step:8584 loss=0.000000 out_o1=0.100433 out_o2=0.889608
网络的输出：step:8583 loss=0.000000 out_o1=0.100432 out_o2=0.889609
网络的输出：step:8582 loss=0.000000 out_o1=0.100430 out_o2=0.889610
网络的输出：step:8581 loss=0.000000 out_o1=0.100429 out_o2=0.889612
网络的输出：step:8580 loss=0.000000 out_o1=0.100427 out_o2=0.889613
网络的输出：step:8579 loss=0.000000 out_o1=0.100426 out_o2=0.889614
网络的输出：step:8578 loss=0.000000 out_o1=0.100424 out_o2=0.889616
网络的输出：step:8577 loss=0.000000 out_o1=0.100423 out_o2=0.889617
网络的输出：step:8576 loss=0.000000 out_o1=0.100421 out_o2=0.889619
网络的输出：step:8575 loss=0.000000 out_o1=0.100420 out_o2=0.889620
网络的输出：step:8574 loss=0.000000 out_o1=0.100418 out_o2=0.889621
网络的输出：step:8573 loss=0.000000 out_o1=0.100417 out_o2=0.889623
网络的输出：step:8572 loss=0.000000 out_o1=0.100415 out_o2=0.889624
网络的输出：step:8571 loss=0.000000 out_o1=0.100414 out_o2=0.889625
网络的输出：step:8570 loss=0.000000 out_o1=0.100412 out_o2=0.889627
网络的输出：step:8569 loss=0.000000 out_o1=0.100411 out_o2=0.889628
网络的输出：step:8568 loss=0.000000 out_o1=0.100410 out_o2=0.889629
网络的输出：step:8567 loss=0.000000 out_o1=0.100408 out_o2=0.889630
网络的输出：step:8566 loss=0.000000 out_o1=0.100407 out_o2=0.889632
网络的输出：step:8565 loss=0.000000 out_o1=0.100405 out_o2=0.889633
网络的输出：step:8564 loss=0.000000 out_o1=0.100404 out_o2=0.889634
网络的输出：step:8563 loss=0.000000 out_o1=0.100402 out_o2=0.889636
网络的输出：step:8562 loss=0.000000 out_o1=0.100401 out_o2=0.889637
网络的输出：step:8561 loss=0.000000 out_o1=0.100400 out_o2=0.889638
网络的输出：step:8560 loss=0.000000 out_o1=0.100398 out_o2=0.889639
网络的输出：step:8559 loss=0.000000 out_o1=0.100397 out_o2=0.889641
网络的输出：step:8558 loss=0.000000 out_o1=0.100395 out_o2=0.889642
网络的输出：step:8557 loss=0.000000 out_o1=0.100394 out_o2=0.889643
网络的输出：step:8556 loss=0.000000 out_o1=0.100393 out_o2=0.889644
网络的输出：step:8555 loss=0.000000 out_o1=0.100391 out_o2=0.889646
网络的输出：step:8554 loss=0.000000 out_o1=0.100390 out_o2=0.889647
网络的输出：step:8553 loss=0.000000 out_o1=0.100389 out_o2=0.889648
网络的输出：step:8552 loss=0.000000 out_o1=0.100387 out_o2=0.889649
网络的输出：step:8551 loss=0.000000 out_o1=0.100386 out_o2=0.889651
网络的输出：step:8550 loss=0.000000 out_o1=0.100384 out_o2=0.889652
网络的输出：step:8549 loss=0.000000 out_o1=0.100383 out_o2=0.889653
网络的输出：step:8548 loss=0.000000 out_o1=0.100382 out_o2=0.889654
网络的输出：step:8547 loss=0.000000 out_o1=0.100380 out_o2=0.889656
网络的输出：step:8546 loss=0.000000 out_o1=0.100379 out_o2=0.889657
网络的输出：step:8545 loss=0.000000 out_o1=0.100378 out_o2=0.889658
网络的输出：step:8544 loss=0.000000 out_o1=0.100376 out_o2=0.889659
网络的输出：step:8543 loss=0.000000 out_o1=0.100375 out_o2=0.889660
网络的输出：step:8542 loss=0.000000 out_o1=0.100374 out_o2=0.889662
网络的输出：step:8541 loss=0.000000 out_o1=0.100372 out_o2=0.889663
网络的输出：step:8540 loss=0.000000 out_o1=0.100371 out_o2=0.889664
网络的输出：step:8539 loss=0.000000 out_o1=0.100370 out_o2=0.889665
网络的输出：step:8538 loss=0.000000 out_o1=0.100369 out_o2=0.889666
网络的输出：step:8537 loss=0.000000 out_o1=0.100367 out_o2=0.889667
网络的输出：step:8536 loss=0.000000 out_o1=0.100366 out_o2=0.889669
网络的输出：step:8535 loss=0.000000 out_o1=0.100365 out_o2=0.889670
网络的输出：step:8534 loss=0.000000 out_o1=0.100363 out_o2=0.889671
网络的输出：step:8533 loss=0.000000 out_o1=0.100362 out_o2=0.889672
网络的输出：step:8532 loss=0.000000 out_o1=0.100361 out_o2=0.889673
网络的输出：step:8531 loss=0.000000 out_o1=0.100360 out_o2=0.889674
网络的输出：step:8530 loss=0.000000 out_o1=0.100358 out_o2=0.889676
网络的输出：step:8529 loss=0.000000 out_o1=0.100357 out_o2=0.889677
网络的输出：step:8528 loss=0.000000 out_o1=0.100356 out_o2=0.889678
网络的输出：step:8527 loss=0.000000 out_o1=0.100355 out_o2=0.889679
网络的输出：step:8526 loss=0.000000 out_o1=0.100353 out_o2=0.889680
网络的输出：step:8525 loss=0.000000 out_o1=0.100352 out_o2=0.889681
网络的输出：step:8524 loss=0.000000 out_o1=0.100351 out_o2=0.889682
网络的输出：step:8523 loss=0.000000 out_o1=0.100350 out_o2=0.889683
网络的输出：step:8522 loss=0.000000 out_o1=0.100348 out_o2=0.889685
网络的输出：step:8521 loss=0.000000 out_o1=0.100347 out_o2=0.889686
网络的输出：step:8520 loss=0.000000 out_o1=0.100346 out_o2=0.889687
网络的输出：step:8519 loss=0.000000 out_o1=0.100345 out_o2=0.889688
网络的输出：step:8518 loss=0.000000 out_o1=0.100344 out_o2=0.889689
网络的输出：step:8517 loss=0.000000 out_o1=0.100342 out_o2=0.889690
网络的输出：step:8516 loss=0.000000 out_o1=0.100341 out_o2=0.889691
网络的输出：step:8515 loss=0.000000 out_o1=0.100340 out_o2=0.889692
网络的输出：step:8514 loss=0.000000 out_o1=0.100339 out_o2=0.889693
网络的输出：step:8513 loss=0.000000 out_o1=0.100338 out_o2=0.889694
网络的输出：step:8512 loss=0.000000 out_o1=0.100336 out_o2=0.889695
网络的输出：step:8511 loss=0.000000 out_o1=0.100335 out_o2=0.889697
网络的输出：step:8510 loss=0.000000 out_o1=0.100334 out_o2=0.889698
网络的输出：step:8509 loss=0.000000 out_o1=0.100333 out_o2=0.889699
网络的输出：step:8508 loss=0.000000 out_o1=0.100332 out_o2=0.889700
网络的输出：step:8507 loss=0.000000 out_o1=0.100331 out_o2=0.889701
网络的输出：step:8506 loss=0.000000 out_o1=0.100329 out_o2=0.889702
网络的输出：step:8505 loss=0.000000 out_o1=0.100328 out_o2=0.889703
网络的输出：step:8504 loss=0.000000 out_o1=0.100327 out_o2=0.889704
网络的输出：step:8503 loss=0.000000 out_o1=0.100326 out_o2=0.889705
网络的输出：step:8502 loss=0.000000 out_o1=0.100325 out_o2=0.889706
网络的输出：step:8501 loss=0.000000 out_o1=0.100324 out_o2=0.889707
网络的输出：step:8500 loss=0.000000 out_o1=0.100323 out_o2=0.889708
网络的输出：step:8499 loss=0.000000 out_o1=0.100321 out_o2=0.889709
网络的输出：step:8498 loss=0.000000 out_o1=0.100320 out_o2=0.889710
网络的输出：step:8497 loss=0.000000 out_o1=0.100319 out_o2=0.889711
网络的输出：step:8496 loss=0.000000 out_o1=0.100318 out_o2=0.889712
网络的输出：step:8495 loss=0.000000 out_o1=0.100317 out_o2=0.889713
网络的输出：step:8494 loss=0.000000 out_o1=0.100316 out_o2=0.889714
网络的输出：step:8493 loss=0.000000 out_o1=0.100315 out_o2=0.889715
网络的输出：step:8492 loss=0.000000 out_o1=0.100314 out_o2=0.889716
网络的输出：step:8491 loss=0.000000 out_o1=0.100313 out_o2=0.889717
网络的输出：step:8490 loss=0.000000 out_o1=0.100311 out_o2=0.889718
网络的输出：step:8489 loss=0.000000 out_o1=0.100310 out_o2=0.889719
网络的输出：step:8488 loss=0.000000 out_o1=0.100309 out_o2=0.889720
网络的输出：step:8487 loss=0.000000 out_o1=0.100308 out_o2=0.889721
网络的输出：step:8486 loss=0.000000 out_o1=0.100307 out_o2=0.889722
网络的输出：step:8485 loss=0.000000 out_o1=0.100306 out_o2=0.889723
网络的输出：step:8484 loss=0.000000 out_o1=0.100305 out_o2=0.889724
网络的输出：step:8483 loss=0.000000 out_o1=0.100304 out_o2=0.889725
网络的输出：step:8482 loss=0.000000 out_o1=0.100303 out_o2=0.889726
网络的输出：step:8481 loss=0.000000 out_o1=0.100302 out_o2=0.889727
网络的输出：step:8480 loss=0.000000 out_o1=0.100301 out_o2=0.889728
网络的输出：step:8479 loss=0.000000 out_o1=0.100300 out_o2=0.889729
网络的输出：step:8478 loss=0.000000 out_o1=0.100299 out_o2=0.889730
网络的输出：step:8477 loss=0.000000 out_o1=0.100298 out_o2=0.889731
网络的输出：step:8476 loss=0.000000 out_o1=0.100297 out_o2=0.889732
网络的输出：step:8475 loss=0.000000 out_o1=0.100295 out_o2=0.889733
网络的输出：step:8474 loss=0.000000 out_o1=0.100294 out_o2=0.889734
网络的输出：step:8473 loss=0.000000 out_o1=0.100293 out_o2=0.889734
网络的输出：step:8472 loss=0.000000 out_o1=0.100292 out_o2=0.889735
网络的输出：step:8471 loss=0.000000 out_o1=0.100291 out_o2=0.889736
网络的输出：step:8470 loss=0.000000 out_o1=0.100290 out_o2=0.889737
网络的输出：step:8469 loss=0.000000 out_o1=0.100289 out_o2=0.889738
网络的输出：step:8468 loss=0.000000 out_o1=0.100288 out_o2=0.889739
网络的输出：step:8467 loss=0.000000 out_o1=0.100287 out_o2=0.889740
网络的输出：step:8466 loss=0.000000 out_o1=0.100286 out_o2=0.889741
网络的输出：step:8465 loss=0.000000 out_o1=0.100285 out_o2=0.889742
网络的输出：step:8464 loss=0.000000 out_o1=0.100284 out_o2=0.889743
网络的输出：step:8463 loss=0.000000 out_o1=0.100283 out_o2=0.889744
网络的输出：step:8462 loss=0.000000 out_o1=0.100282 out_o2=0.889745
网络的输出：step:8461 loss=0.000000 out_o1=0.100281 out_o2=0.889745
网络的输出：step:8460 loss=0.000000 out_o1=0.100280 out_o2=0.889746
网络的输出：step:8459 loss=0.000000 out_o1=0.100279 out_o2=0.889747
网络的输出：step:8458 loss=0.000000 out_o1=0.100278 out_o2=0.889748
网络的输出：step:8457 loss=0.000000 out_o1=0.100277 out_o2=0.889749
网络的输出：step:8456 loss=0.000000 out_o1=0.100276 out_o2=0.889750
网络的输出：step:8455 loss=0.000000 out_o1=0.100275 out_o2=0.889751
网络的输出：step:8454 loss=0.000000 out_o1=0.100274 out_o2=0.889752
网络的输出：step:8453 loss=0.000000 out_o1=0.100274 out_o2=0.889753
网络的输出：step:8452 loss=0.000000 out_o1=0.100273 out_o2=0.889753
网络的输出：step:8451 loss=0.000000 out_o1=0.100272 out_o2=0.889754
网络的输出：step:8450 loss=0.000000 out_o1=0.100271 out_o2=0.889755
网络的输出：step:8449 loss=0.000000 out_o1=0.100270 out_o2=0.889756
网络的输出：step:8448 loss=0.000000 out_o1=0.100269 out_o2=0.889757
网络的输出：step:8447 loss=0.000000 out_o1=0.100268 out_o2=0.889758
网络的输出：step:8446 loss=0.000000 out_o1=0.100267 out_o2=0.889759
网络的输出：step:8445 loss=0.000000 out_o1=0.100266 out_o2=0.889759
网络的输出：step:8444 loss=0.000000 out_o1=0.100265 out_o2=0.889760
网络的输出：step:8443 loss=0.000000 out_o1=0.100264 out_o2=0.889761
网络的输出：step:8442 loss=0.000000 out_o1=0.100263 out_o2=0.889762
网络的输出：step:8441 loss=0.000000 out_o1=0.100262 out_o2=0.889763
网络的输出：step:8440 loss=0.000000 out_o1=0.100261 out_o2=0.889764
网络的输出：step:8439 loss=0.000000 out_o1=0.100260 out_o2=0.889764
网络的输出：step:8438 loss=0.000000 out_o1=0.100260 out_o2=0.889765
网络的输出：step:8437 loss=0.000000 out_o1=0.100259 out_o2=0.889766
网络的输出：step:8436 loss=0.000000 out_o1=0.100258 out_o2=0.889767
网络的输出：step:8435 loss=0.000000 out_o1=0.100257 out_o2=0.889768
网络的输出：step:8434 loss=0.000000 out_o1=0.100256 out_o2=0.889768
网络的输出：step:8433 loss=0.000000 out_o1=0.100255 out_o2=0.889769
网络的输出：step:8432 loss=0.000000 out_o1=0.100254 out_o2=0.889770
网络的输出：step:8431 loss=0.000000 out_o1=0.100253 out_o2=0.889771
网络的输出：step:8430 loss=0.000000 out_o1=0.100252 out_o2=0.889772
网络的输出：step:8429 loss=0.000000 out_o1=0.100251 out_o2=0.889773
网络的输出：step:8428 loss=0.000000 out_o1=0.100251 out_o2=0.889773
网络的输出：step:8427 loss=0.000000 out_o1=0.100250 out_o2=0.889774
网络的输出：step:8426 loss=0.000000 out_o1=0.100249 out_o2=0.889775
网络的输出：step:8425 loss=0.000000 out_o1=0.100248 out_o2=0.889776
网络的输出：step:8424 loss=0.000000 out_o1=0.100247 out_o2=0.889776
网络的输出：step:8423 loss=0.000000 out_o1=0.100246 out_o2=0.889777
网络的输出：step:8422 loss=0.000000 out_o1=0.100245 out_o2=0.889778
网络的输出：step:8421 loss=0.000000 out_o1=0.100245 out_o2=0.889779
网络的输出：step:8420 loss=0.000000 out_o1=0.100244 out_o2=0.889780
网络的输出：step:8419 loss=0.000000 out_o1=0.100243 out_o2=0.889780
网络的输出：step:8418 loss=0.000000 out_o1=0.100242 out_o2=0.889781
网络的输出：step:8417 loss=0.000000 out_o1=0.100241 out_o2=0.889782
网络的输出：step:8416 loss=0.000000 out_o1=0.100240 out_o2=0.889783
网络的输出：step:8415 loss=0.000000 out_o1=0.100239 out_o2=0.889783
网络的输出：step:8414 loss=0.000000 out_o1=0.100239 out_o2=0.889784
网络的输出：step:8413 loss=0.000000 out_o1=0.100238 out_o2=0.889785
网络的输出：step:8412 loss=0.000000 out_o1=0.100237 out_o2=0.889786
网络的输出：step:8411 loss=0.000000 out_o1=0.100236 out_o2=0.889786
网络的输出：step:8410 loss=0.000000 out_o1=0.100235 out_o2=0.889787
网络的输出：step:8409 loss=0.000000 out_o1=0.100234 out_o2=0.889788
网络的输出：step:8408 loss=0.000000 out_o1=0.100234 out_o2=0.889789
网络的输出：step:8407 loss=0.000000 out_o1=0.100233 out_o2=0.889789
网络的输出：step:8406 loss=0.000000 out_o1=0.100232 out_o2=0.889790
网络的输出：step:8405 loss=0.000000 out_o1=0.100231 out_o2=0.889791
网络的输出：step:8404 loss=0.000000 out_o1=0.100230 out_o2=0.889792
网络的输出：step:8403 loss=0.000000 out_o1=0.100230 out_o2=0.889792
网络的输出：step:8402 loss=0.000000 out_o1=0.100229 out_o2=0.889793
网络的输出：step:8401 loss=0.000000 out_o1=0.100228 out_o2=0.889794
网络的输出：step:8400 loss=0.000000 out_o1=0.100227 out_o2=0.889795
网络的输出：step:8399 loss=0.000000 out_o1=0.100226 out_o2=0.889795
网络的输出：step:8398 loss=0.000000 out_o1=0.100226 out_o2=0.889796
网络的输出：step:8397 loss=0.000000 out_o1=0.100225 out_o2=0.889797
网络的输出：step:8396 loss=0.000000 out_o1=0.100224 out_o2=0.889797
网络的输出：step:8395 loss=0.000000 out_o1=0.100223 out_o2=0.889798
网络的输出：step:8394 loss=0.000000 out_o1=0.100222 out_o2=0.889799
网络的输出：step:8393 loss=0.000000 out_o1=0.100222 out_o2=0.889800
网络的输出：step:8392 loss=0.000000 out_o1=0.100221 out_o2=0.889800
网络的输出：step:8391 loss=0.000000 out_o1=0.100220 out_o2=0.889801
网络的输出：step:8390 loss=0.000000 out_o1=0.100219 out_o2=0.889802
网络的输出：step:8389 loss=0.000000 out_o1=0.100219 out_o2=0.889802
网络的输出：step:8388 loss=0.000000 out_o1=0.100218 out_o2=0.889803
网络的输出：step:8387 loss=0.000000 out_o1=0.100217 out_o2=0.889804
网络的输出：step:8386 loss=0.000000 out_o1=0.100216 out_o2=0.889804
网络的输出：step:8385 loss=0.000000 out_o1=0.100216 out_o2=0.889805
网络的输出：step:8384 loss=0.000000 out_o1=0.100215 out_o2=0.889806
网络的输出：step:8383 loss=0.000000 out_o1=0.100214 out_o2=0.889806
网络的输出：step:8382 loss=0.000000 out_o1=0.100213 out_o2=0.889807
网络的输出：step:8381 loss=0.000000 out_o1=0.100213 out_o2=0.889808
网络的输出：step:8380 loss=0.000000 out_o1=0.100212 out_o2=0.889808
网络的输出：step:8379 loss=0.000000 out_o1=0.100211 out_o2=0.889809
网络的输出：step:8378 loss=0.000000 out_o1=0.100210 out_o2=0.889810
网络的输出：step:8377 loss=0.000000 out_o1=0.100210 out_o2=0.889810
网络的输出：step:8376 loss=0.000000 out_o1=0.100209 out_o2=0.889811
网络的输出：step:8375 loss=0.000000 out_o1=0.100208 out_o2=0.889812
网络的输出：step:8374 loss=0.000000 out_o1=0.100207 out_o2=0.889812
网络的输出：step:8373 loss=0.000000 out_o1=0.100207 out_o2=0.889813
网络的输出：step:8372 loss=0.000000 out_o1=0.100206 out_o2=0.889814
网络的输出：step:8371 loss=0.000000 out_o1=0.100205 out_o2=0.889814
网络的输出：step:8370 loss=0.000000 out_o1=0.100204 out_o2=0.889815
网络的输出：step:8369 loss=0.000000 out_o1=0.100204 out_o2=0.889816
网络的输出：step:8368 loss=0.000000 out_o1=0.100203 out_o2=0.889816
网络的输出：step:8367 loss=0.000000 out_o1=0.100202 out_o2=0.889817
网络的输出：step:8366 loss=0.000000 out_o1=0.100202 out_o2=0.889818
网络的输出：step:8365 loss=0.000000 out_o1=0.100201 out_o2=0.889818
网络的输出：step:8364 loss=0.000000 out_o1=0.100200 out_o2=0.889819
网络的输出：step:8363 loss=0.000000 out_o1=0.100200 out_o2=0.889820
网络的输出：step:8362 loss=0.000000 out_o1=0.100199 out_o2=0.889820
网络的输出：step:8361 loss=0.000000 out_o1=0.100198 out_o2=0.889821
网络的输出：step:8360 loss=0.000000 out_o1=0.100197 out_o2=0.889821
网络的输出：step:8359 loss=0.000000 out_o1=0.100197 out_o2=0.889822
网络的输出：step:8358 loss=0.000000 out_o1=0.100196 out_o2=0.889823
网络的输出：step:8357 loss=0.000000 out_o1=0.100195 out_o2=0.889823
网络的输出：step:8356 loss=0.000000 out_o1=0.100195 out_o2=0.889824
网络的输出：step:8355 loss=0.000000 out_o1=0.100194 out_o2=0.889825
网络的输出：step:8354 loss=0.000000 out_o1=0.100193 out_o2=0.889825
网络的输出：step:8353 loss=0.000000 out_o1=0.100193 out_o2=0.889826
网络的输出：step:8352 loss=0.000000 out_o1=0.100192 out_o2=0.889826
网络的输出：step:8351 loss=0.000000 out_o1=0.100191 out_o2=0.889827
网络的输出：step:8350 loss=0.000000 out_o1=0.100191 out_o2=0.889828
网络的输出：step:8349 loss=0.000000 out_o1=0.100190 out_o2=0.889828
网络的输出：step:8348 loss=0.000000 out_o1=0.100189 out_o2=0.889829
网络的输出：step:8347 loss=0.000000 out_o1=0.100189 out_o2=0.889829
网络的输出：step:8346 loss=0.000000 out_o1=0.100188 out_o2=0.889830
网络的输出：step:8345 loss=0.000000 out_o1=0.100187 out_o2=0.889831
网络的输出：step:8344 loss=0.000000 out_o1=0.100187 out_o2=0.889831
网络的输出：step:8343 loss=0.000000 out_o1=0.100186 out_o2=0.889832
网络的输出：step:8342 loss=0.000000 out_o1=0.100185 out_o2=0.889832
网络的输出：step:8341 loss=0.000000 out_o1=0.100185 out_o2=0.889833
网络的输出：step:8340 loss=0.000000 out_o1=0.100184 out_o2=0.889834
网络的输出：step:8339 loss=0.000000 out_o1=0.100183 out_o2=0.889834
网络的输出：step:8338 loss=0.000000 out_o1=0.100183 out_o2=0.889835
网络的输出：step:8337 loss=0.000000 out_o1=0.100182 out_o2=0.889835
网络的输出：step:8336 loss=0.000000 out_o1=0.100182 out_o2=0.889836
网络的输出：step:8335 loss=0.000000 out_o1=0.100181 out_o2=0.889836
网络的输出：step:8334 loss=0.000000 out_o1=0.100180 out_o2=0.889837
网络的输出：step:8333 loss=0.000000 out_o1=0.100180 out_o2=0.889838
网络的输出：step:8332 loss=0.000000 out_o1=0.100179 out_o2=0.889838
网络的输出：step:8331 loss=0.000000 out_o1=0.100178 out_o2=0.889839
网络的输出：step:8330 loss=0.000000 out_o1=0.100178 out_o2=0.889839
网络的输出：step:8329 loss=0.000000 out_o1=0.100177 out_o2=0.889840
网络的输出：step:8328 loss=0.000000 out_o1=0.100176 out_o2=0.889840
网络的输出：step:8327 loss=0.000000 out_o1=0.100176 out_o2=0.889841
网络的输出：step:8326 loss=0.000000 out_o1=0.100175 out_o2=0.889842
网络的输出：step:8325 loss=0.000000 out_o1=0.100175 out_o2=0.889842
网络的输出：step:8324 loss=0.000000 out_o1=0.100174 out_o2=0.889843
网络的输出：step:8323 loss=0.000000 out_o1=0.100173 out_o2=0.889843
网络的输出：step:8322 loss=0.000000 out_o1=0.100173 out_o2=0.889844
网络的输出：step:8321 loss=0.000000 out_o1=0.100172 out_o2=0.889844
网络的输出：step:8320 loss=0.000000 out_o1=0.100172 out_o2=0.889845
网络的输出：step:8319 loss=0.000000 out_o1=0.100171 out_o2=0.889845
网络的输出：step:8318 loss=0.000000 out_o1=0.100170 out_o2=0.889846
网络的输出：step:8317 loss=0.000000 out_o1=0.100170 out_o2=0.889846
网络的输出：step:8316 loss=0.000000 out_o1=0.100169 out_o2=0.889847
网络的输出：step:8315 loss=0.000000 out_o1=0.100169 out_o2=0.889848
网络的输出：step:8314 loss=0.000000 out_o1=0.100168 out_o2=0.889848
网络的输出：step:8313 loss=0.000000 out_o1=0.100167 out_o2=0.889849
网络的输出：step:8312 loss=0.000000 out_o1=0.100167 out_o2=0.889849
网络的输出：step:8311 loss=0.000000 out_o1=0.100166 out_o2=0.889850
网络的输出：step:8310 loss=0.000000 out_o1=0.100166 out_o2=0.889850
网络的输出：step:8309 loss=0.000000 out_o1=0.100165 out_o2=0.889851
网络的输出：step:8308 loss=0.000000 out_o1=0.100165 out_o2=0.889851
网络的输出：step:8307 loss=0.000000 out_o1=0.100164 out_o2=0.889852
网络的输出：step:8306 loss=0.000000 out_o1=0.100163 out_o2=0.889852
网络的输出：step:8305 loss=0.000000 out_o1=0.100163 out_o2=0.889853
网络的输出：step:8304 loss=0.000000 out_o1=0.100162 out_o2=0.889853
网络的输出：step:8303 loss=0.000000 out_o1=0.100162 out_o2=0.889854
网络的输出：step:8302 loss=0.000000 out_o1=0.100161 out_o2=0.889854
网络的输出：step:8301 loss=0.000000 out_o1=0.100161 out_o2=0.889855
网络的输出：step:8300 loss=0.000000 out_o1=0.100160 out_o2=0.889855
网络的输出：step:8299 loss=0.000000 out_o1=0.100159 out_o2=0.889856
网络的输出：step:8298 loss=0.000000 out_o1=0.100159 out_o2=0.889856
网络的输出：step:8297 loss=0.000000 out_o1=0.100158 out_o2=0.889857
网络的输出：step:8296 loss=0.000000 out_o1=0.100158 out_o2=0.889857
网络的输出：step:8295 loss=0.000000 out_o1=0.100157 out_o2=0.889858
网络的输出：step:8294 loss=0.000000 out_o1=0.100157 out_o2=0.889858
网络的输出：step:8293 loss=0.000000 out_o1=0.100156 out_o2=0.889859
网络的输出：step:8292 loss=0.000000 out_o1=0.100156 out_o2=0.889859
网络的输出：step:8291 loss=0.000000 out_o1=0.100155 out_o2=0.889860
网络的输出：step:8290 loss=0.000000 out_o1=0.100155 out_o2=0.889860
网络的输出：step:8289 loss=0.000000 out_o1=0.100154 out_o2=0.889861
网络的输出：step:8288 loss=0.000000 out_o1=0.100153 out_o2=0.889861
网络的输出：step:8287 loss=0.000000 out_o1=0.100153 out_o2=0.889862
网络的输出：step:8286 loss=0.000000 out_o1=0.100152 out_o2=0.889862
网络的输出：step:8285 loss=0.000000 out_o1=0.100152 out_o2=0.889863
网络的输出：step:8284 loss=0.000000 out_o1=0.100151 out_o2=0.889863
网络的输出：step:8283 loss=0.000000 out_o1=0.100151 out_o2=0.889864
网络的输出：step:8282 loss=0.000000 out_o1=0.100150 out_o2=0.889864
网络的输出：step:8281 loss=0.000000 out_o1=0.100150 out_o2=0.889865
网络的输出：step:8280 loss=0.000000 out_o1=0.100149 out_o2=0.889865
网络的输出：step:8279 loss=0.000000 out_o1=0.100149 out_o2=0.889866
网络的输出：step:8278 loss=0.000000 out_o1=0.100148 out_o2=0.889866
网络的输出：step:8277 loss=0.000000 out_o1=0.100148 out_o2=0.889867
网络的输出：step:8276 loss=0.000000 out_o1=0.100147 out_o2=0.889867
网络的输出：step:8275 loss=0.000000 out_o1=0.100147 out_o2=0.889867
网络的输出：step:8274 loss=0.000000 out_o1=0.100146 out_o2=0.889868
网络的输出：step:8273 loss=0.000000 out_o1=0.100146 out_o2=0.889868
网络的输出：step:8272 loss=0.000000 out_o1=0.100145 out_o2=0.889869
网络的输出：step:8271 loss=0.000000 out_o1=0.100145 out_o2=0.889869
网络的输出：step:8270 loss=0.000000 out_o1=0.100144 out_o2=0.889870
网络的输出：step:8269 loss=0.000000 out_o1=0.100144 out_o2=0.889870
网络的输出：step:8268 loss=0.000000 out_o1=0.100143 out_o2=0.889871
网络的输出：step:8267 loss=0.000000 out_o1=0.100143 out_o2=0.889871
网络的输出：step:8266 loss=0.000000 out_o1=0.100142 out_o2=0.889872
网络的输出：step:8265 loss=0.000000 out_o1=0.100142 out_o2=0.889872
网络的输出：step:8264 loss=0.000000 out_o1=0.100141 out_o2=0.889872
网络的输出：step:8263 loss=0.000000 out_o1=0.100141 out_o2=0.889873
网络的输出：step:8262 loss=0.000000 out_o1=0.100140 out_o2=0.889873
网络的输出：step:8261 loss=0.000000 out_o1=0.100140 out_o2=0.889874
网络的输出：step:8260 loss=0.000000 out_o1=0.100139 out_o2=0.889874
网络的输出：step:8259 loss=0.000000 out_o1=0.100139 out_o2=0.889875
网络的输出：step:8258 loss=0.000000 out_o1=0.100138 out_o2=0.889875
网络的输出：step:8257 loss=0.000000 out_o1=0.100138 out_o2=0.889876
网络的输出：step:8256 loss=0.000000 out_o1=0.100137 out_o2=0.889876
网络的输出：step:8255 loss=0.000000 out_o1=0.100137 out_o2=0.889876
网络的输出：step:8254 loss=0.000000 out_o1=0.100136 out_o2=0.889877
网络的输出：step:8253 loss=0.000000 out_o1=0.100136 out_o2=0.889877
网络的输出：step:8252 loss=0.000000 out_o1=0.100135 out_o2=0.889878
网络的输出：step:8251 loss=0.000000 out_o1=0.100135 out_o2=0.889878
网络的输出：step:8250 loss=0.000000 out_o1=0.100134 out_o2=0.889879
网络的输出：step:8249 loss=0.000000 out_o1=0.100134 out_o2=0.889879
网络的输出：step:8248 loss=0.000000 out_o1=0.100133 out_o2=0.889879
网络的输出：step:8247 loss=0.000000 out_o1=0.100133 out_o2=0.889880
网络的输出：step:8246 loss=0.000000 out_o1=0.100132 out_o2=0.889880
网络的输出：step:8245 loss=0.000000 out_o1=0.100132 out_o2=0.889881
网络的输出：step:8244 loss=0.000000 out_o1=0.100132 out_o2=0.889881
网络的输出：step:8243 loss=0.000000 out_o1=0.100131 out_o2=0.889882
网络的输出：step:8242 loss=0.000000 out_o1=0.100131 out_o2=0.889882
网络的输出：step:8241 loss=0.000000 out_o1=0.100130 out_o2=0.889882
网络的输出：step:8240 loss=0.000000 out_o1=0.100130 out_o2=0.889883
网络的输出：step:8239 loss=0.000000 out_o1=0.100129 out_o2=0.889883
网络的输出：step:8238 loss=0.000000 out_o1=0.100129 out_o2=0.889884
网络的输出：step:8237 loss=0.000000 out_o1=0.100128 out_o2=0.889884
网络的输出：step:8236 loss=0.000000 out_o1=0.100128 out_o2=0.889884
网络的输出：step:8235 loss=0.000000 out_o1=0.100127 out_o2=0.889885
网络的输出：step:8234 loss=0.000000 out_o1=0.100127 out_o2=0.889885
网络的输出：step:8233 loss=0.000000 out_o1=0.100127 out_o2=0.889886
网络的输出：step:8232 loss=0.000000 out_o1=0.100126 out_o2=0.889886
网络的输出：step:8231 loss=0.000000 out_o1=0.100126 out_o2=0.889886
网络的输出：step:8230 loss=0.000000 out_o1=0.100125 out_o2=0.889887
网络的输出：step:8229 loss=0.000000 out_o1=0.100125 out_o2=0.889887
网络的输出：step:8228 loss=0.000000 out_o1=0.100124 out_o2=0.889888
网络的输出：step:8227 loss=0.000000 out_o1=0.100124 out_o2=0.889888
网络的输出：step:8226 loss=0.000000 out_o1=0.100123 out_o2=0.889888
网络的输出：step:8225 loss=0.000000 out_o1=0.100123 out_o2=0.889889
网络的输出：step:8224 loss=0.000000 out_o1=0.100123 out_o2=0.889889
网络的输出：step:8223 loss=0.000000 out_o1=0.100122 out_o2=0.889890
网络的输出：step:8222 loss=0.000000 out_o1=0.100122 out_o2=0.889890
网络的输出：step:8221 loss=0.000000 out_o1=0.100121 out_o2=0.889890
网络的输出：step:8220 loss=0.000000 out_o1=0.100121 out_o2=0.889891
网络的输出：step:8219 loss=0.000000 out_o1=0.100120 out_o2=0.889891
网络的输出：step:8218 loss=0.000000 out_o1=0.100120 out_o2=0.889891
网络的输出：step:8217 loss=0.000000 out_o1=0.100120 out_o2=0.889892
网络的输出：step:8216 loss=0.000000 out_o1=0.100119 out_o2=0.889892
网络的输出：step:8215 loss=0.000000 out_o1=0.100119 out_o2=0.889893
网络的输出：step:8214 loss=0.000000 out_o1=0.100118 out_o2=0.889893
网络的输出：step:8213 loss=0.000000 out_o1=0.100118 out_o2=0.889893
网络的输出：step:8212 loss=0.000000 out_o1=0.100118 out_o2=0.889894
网络的输出：step:8211 loss=0.000000 out_o1=0.100117 out_o2=0.889894
网络的输出：step:8210 loss=0.000000 out_o1=0.100117 out_o2=0.889894
网络的输出：step:8209 loss=0.000000 out_o1=0.100116 out_o2=0.889895
网络的输出：step:8208 loss=0.000000 out_o1=0.100116 out_o2=0.889895
网络的输出：step:8207 loss=0.000000 out_o1=0.100116 out_o2=0.889896
网络的输出：step:8206 loss=0.000000 out_o1=0.100115 out_o2=0.889896
网络的输出：step:8205 loss=0.000000 out_o1=0.100115 out_o2=0.889896
网络的输出：step:8204 loss=0.000000 out_o1=0.100114 out_o2=0.889897
网络的输出：step:8203 loss=0.000000 out_o1=0.100114 out_o2=0.889897
网络的输出：step:8202 loss=0.000000 out_o1=0.100114 out_o2=0.889897
网络的输出：step:8201 loss=0.000000 out_o1=0.100113 out_o2=0.889898
网络的输出：step:8200 loss=0.000000 out_o1=0.100113 out_o2=0.889898
网络的输出：step:8199 loss=0.000000 out_o1=0.100112 out_o2=0.889898
网络的输出：step:8198 loss=0.000000 out_o1=0.100112 out_o2=0.889899
网络的输出：step:8197 loss=0.000000 out_o1=0.100112 out_o2=0.889899
网络的输出：step:8196 loss=0.000000 out_o1=0.100111 out_o2=0.889900
网络的输出：step:8195 loss=0.000000 out_o1=0.100111 out_o2=0.889900
网络的输出：step:8194 loss=0.000000 out_o1=0.100110 out_o2=0.889900
网络的输出：step:8193 loss=0.000000 out_o1=0.100110 out_o2=0.889901
网络的输出：step:8192 loss=0.000000 out_o1=0.100110 out_o2=0.889901
网络的输出：step:8191 loss=0.000000 out_o1=0.100109 out_o2=0.889901
网络的输出：step:8190 loss=0.000000 out_o1=0.100109 out_o2=0.889902
网络的输出：step:8189 loss=0.000000 out_o1=0.100108 out_o2=0.889902
网络的输出：step:8188 loss=0.000000 out_o1=0.100108 out_o2=0.889902
网络的输出：step:8187 loss=0.000000 out_o1=0.100108 out_o2=0.889903
网络的输出：step:8186 loss=0.000000 out_o1=0.100107 out_o2=0.889903
网络的输出：step:8185 loss=0.000000 out_o1=0.100107 out_o2=0.889903
网络的输出：step:8184 loss=0.000000 out_o1=0.100107 out_o2=0.889904
网络的输出：step:8183 loss=0.000000 out_o1=0.100106 out_o2=0.889904
网络的输出：step:8182 loss=0.000000 out_o1=0.100106 out_o2=0.889904
网络的输出：step:8181 loss=0.000000 out_o1=0.100105 out_o2=0.889905
网络的输出：step:8180 loss=0.000000 out_o1=0.100105 out_o2=0.889905
网络的输出：step:8179 loss=0.000000 out_o1=0.100105 out_o2=0.889905
网络的输出：step:8178 loss=0.000000 out_o1=0.100104 out_o2=0.889906
网络的输出：step:8177 loss=0.000000 out_o1=0.100104 out_o2=0.889906
网络的输出：step:8176 loss=0.000000 out_o1=0.100104 out_o2=0.889906
网络的输出：step:8175 loss=0.000000 out_o1=0.100103 out_o2=0.889907
网络的输出：step:8174 loss=0.000000 out_o1=0.100103 out_o2=0.889907
网络的输出：step:8173 loss=0.000000 out_o1=0.100103 out_o2=0.889907
网络的输出：step:8172 loss=0.000000 out_o1=0.100102 out_o2=0.889908
网络的输出：step:8171 loss=0.000000 out_o1=0.100102 out_o2=0.889908
网络的输出：step:8170 loss=0.000000 out_o1=0.100102 out_o2=0.889908
网络的输出：step:8169 loss=0.000000 out_o1=0.100101 out_o2=0.889909
网络的输出：step:8168 loss=0.000000 out_o1=0.100101 out_o2=0.889909
网络的输出：step:8167 loss=0.000000 out_o1=0.100100 out_o2=0.889909
网络的输出：step:8166 loss=0.000000 out_o1=0.100100 out_o2=0.889910
网络的输出：step:8165 loss=0.000000 out_o1=0.100100 out_o2=0.889910
网络的输出：step:8164 loss=0.000000 out_o1=0.100099 out_o2=0.889910
网络的输出：step:8163 loss=0.000000 out_o1=0.100099 out_o2=0.889910
网络的输出：step:8162 loss=0.000000 out_o1=0.100099 out_o2=0.889911
网络的输出：step:8161 loss=0.000000 out_o1=0.100098 out_o2=0.889911
网络的输出：step:8160 loss=0.000000 out_o1=0.100098 out_o2=0.889911
网络的输出：step:8159 loss=0.000000 out_o1=0.100098 out_o2=0.889912
网络的输出：step:8158 loss=0.000000 out_o1=0.100097 out_o2=0.889912
网络的输出：step:8157 loss=0.000000 out_o1=0.100097 out_o2=0.889912
网络的输出：step:8156 loss=0.000000 out_o1=0.100097 out_o2=0.889913
网络的输出：step:8155 loss=0.000000 out_o1=0.100096 out_o2=0.889913
网络的输出：step:8154 loss=0.000000 out_o1=0.100096 out_o2=0.889913
网络的输出：step:8153 loss=0.000000 out_o1=0.100096 out_o2=0.889914
网络的输出：step:8152 loss=0.000000 out_o1=0.100095 out_o2=0.889914
网络的输出：step:8151 loss=0.000000 out_o1=0.100095 out_o2=0.889914
网络的输出：step:8150 loss=0.000000 out_o1=0.100095 out_o2=0.889914
网络的输出：step:8149 loss=0.000000 out_o1=0.100094 out_o2=0.889915
网络的输出：step:8148 loss=0.000000 out_o1=0.100094 out_o2=0.889915
网络的输出：step:8147 loss=0.000000 out_o1=0.100094 out_o2=0.889915
网络的输出：step:8146 loss=0.000000 out_o1=0.100093 out_o2=0.889916
网络的输出：step:8145 loss=0.000000 out_o1=0.100093 out_o2=0.889916
网络的输出：step:8144 loss=0.000000 out_o1=0.100093 out_o2=0.889916
网络的输出：step:8143 loss=0.000000 out_o1=0.100092 out_o2=0.889917
网络的输出：step:8142 loss=0.000000 out_o1=0.100092 out_o2=0.889917
网络的输出：step:8141 loss=0.000000 out_o1=0.100092 out_o2=0.889917
网络的输出：step:8140 loss=0.000000 out_o1=0.100091 out_o2=0.889917
网络的输出：step:8139 loss=0.000000 out_o1=0.100091 out_o2=0.889918
网络的输出：step:8138 loss=0.000000 out_o1=0.100091 out_o2=0.889918
网络的输出：step:8137 loss=0.000000 out_o1=0.100090 out_o2=0.889918
网络的输出：step:8136 loss=0.000000 out_o1=0.100090 out_o2=0.889919
网络的输出：step:8135 loss=0.000000 out_o1=0.100090 out_o2=0.889919
网络的输出：step:8134 loss=0.000000 out_o1=0.100089 out_o2=0.889919
网络的输出：step:8133 loss=0.000000 out_o1=0.100089 out_o2=0.889919
网络的输出：step:8132 loss=0.000000 out_o1=0.100089 out_o2=0.889920
网络的输出：step:8131 loss=0.000000 out_o1=0.100089 out_o2=0.889920
网络的输出：step:8130 loss=0.000000 out_o1=0.100088 out_o2=0.889920
网络的输出：step:8129 loss=0.000000 out_o1=0.100088 out_o2=0.889921
网络的输出：step:8128 loss=0.000000 out_o1=0.100088 out_o2=0.889921
网络的输出：step:8127 loss=0.000000 out_o1=0.100087 out_o2=0.889921
网络的输出：step:8126 loss=0.000000 out_o1=0.100087 out_o2=0.889921
网络的输出：step:8125 loss=0.000000 out_o1=0.100087 out_o2=0.889922
网络的输出：step:8124 loss=0.000000 out_o1=0.100086 out_o2=0.889922
网络的输出：step:8123 loss=0.000000 out_o1=0.100086 out_o2=0.889922
网络的输出：step:8122 loss=0.000000 out_o1=0.100086 out_o2=0.889922
网络的输出：step:8121 loss=0.000000 out_o1=0.100086 out_o2=0.889923
网络的输出：step:8120 loss=0.000000 out_o1=0.100085 out_o2=0.889923
网络的输出：step:8119 loss=0.000000 out_o1=0.100085 out_o2=0.889923
网络的输出：step:8118 loss=0.000000 out_o1=0.100085 out_o2=0.889924
网络的输出：step:8117 loss=0.000000 out_o1=0.100084 out_o2=0.889924
网络的输出：step:8116 loss=0.000000 out_o1=0.100084 out_o2=0.889924
网络的输出：step:8115 loss=0.000000 out_o1=0.100084 out_o2=0.889924
网络的输出：step:8114 loss=0.000000 out_o1=0.100083 out_o2=0.889925
网络的输出：step:8113 loss=0.000000 out_o1=0.100083 out_o2=0.889925
网络的输出：step:8112 loss=0.000000 out_o1=0.100083 out_o2=0.889925
网络的输出：step:8111 loss=0.000000 out_o1=0.100083 out_o2=0.889925
网络的输出：step:8110 loss=0.000000 out_o1=0.100082 out_o2=0.889926
网络的输出：step:8109 loss=0.000000 out_o1=0.100082 out_o2=0.889926
网络的输出：step:8108 loss=0.000000 out_o1=0.100082 out_o2=0.889926
网络的输出：step:8107 loss=0.000000 out_o1=0.100081 out_o2=0.889926
网络的输出：step:8106 loss=0.000000 out_o1=0.100081 out_o2=0.889927
网络的输出：step:8105 loss=0.000000 out_o1=0.100081 out_o2=0.889927
网络的输出：step:8104 loss=0.000000 out_o1=0.100081 out_o2=0.889927
网络的输出：step:8103 loss=0.000000 out_o1=0.100080 out_o2=0.889927
网络的输出：step:8102 loss=0.000000 out_o1=0.100080 out_o2=0.889928
网络的输出：step:8101 loss=0.000000 out_o1=0.100080 out_o2=0.889928
网络的输出：step:8100 loss=0.000000 out_o1=0.100079 out_o2=0.889928
网络的输出：step:8099 loss=0.000000 out_o1=0.100079 out_o2=0.889928
网络的输出：step:8098 loss=0.000000 out_o1=0.100079 out_o2=0.889929
网络的输出：step:8097 loss=0.000000 out_o1=0.100079 out_o2=0.889929
网络的输出：step:8096 loss=0.000000 out_o1=0.100078 out_o2=0.889929
网络的输出：step:8095 loss=0.000000 out_o1=0.100078 out_o2=0.889929
网络的输出：step:8094 loss=0.000000 out_o1=0.100078 out_o2=0.889930
网络的输出：step:8093 loss=0.000000 out_o1=0.100078 out_o2=0.889930
网络的输出：step:8092 loss=0.000000 out_o1=0.100077 out_o2=0.889930
网络的输出：step:8091 loss=0.000000 out_o1=0.100077 out_o2=0.889930
网络的输出：step:8090 loss=0.000000 out_o1=0.100077 out_o2=0.889931
网络的输出：step:8089 loss=0.000000 out_o1=0.100076 out_o2=0.889931
网络的输出：step:8088 loss=0.000000 out_o1=0.100076 out_o2=0.889931
网络的输出：step:8087 loss=0.000000 out_o1=0.100076 out_o2=0.889931
网络的输出：step:8086 loss=0.000000 out_o1=0.100076 out_o2=0.889932
网络的输出：step:8085 loss=0.000000 out_o1=0.100075 out_o2=0.889932
网络的输出：step:8084 loss=0.000000 out_o1=0.100075 out_o2=0.889932
网络的输出：step:8083 loss=0.000000 out_o1=0.100075 out_o2=0.889932
网络的输出：step:8082 loss=0.000000 out_o1=0.100075 out_o2=0.889933
网络的输出：step:8081 loss=0.000000 out_o1=0.100074 out_o2=0.889933
网络的输出：step:8080 loss=0.000000 out_o1=0.100074 out_o2=0.889933
网络的输出：step:8079 loss=0.000000 out_o1=0.100074 out_o2=0.889933
网络的输出：step:8078 loss=0.000000 out_o1=0.100074 out_o2=0.889934
网络的输出：step:8077 loss=0.000000 out_o1=0.100073 out_o2=0.889934
网络的输出：step:8076 loss=0.000000 out_o1=0.100073 out_o2=0.889934
网络的输出：step:8075 loss=0.000000 out_o1=0.100073 out_o2=0.889934
网络的输出：step:8074 loss=0.000000 out_o1=0.100073 out_o2=0.889934
网络的输出：step:8073 loss=0.000000 out_o1=0.100072 out_o2=0.889935
网络的输出：step:8072 loss=0.000000 out_o1=0.100072 out_o2=0.889935
网络的输出：step:8071 loss=0.000000 out_o1=0.100072 out_o2=0.889935
网络的输出：step:8070 loss=0.000000 out_o1=0.100072 out_o2=0.889935
网络的输出：step:8069 loss=0.000000 out_o1=0.100071 out_o2=0.889936
网络的输出：step:8068 loss=0.000000 out_o1=0.100071 out_o2=0.889936
网络的输出：step:8067 loss=0.000000 out_o1=0.100071 out_o2=0.889936
网络的输出：step:8066 loss=0.000000 out_o1=0.100071 out_o2=0.889936
网络的输出：step:8065 loss=0.000000 out_o1=0.100070 out_o2=0.889936
网络的输出：step:8064 loss=0.000000 out_o1=0.100070 out_o2=0.889937
网络的输出：step:8063 loss=0.000000 out_o1=0.100070 out_o2=0.889937
网络的输出：step:8062 loss=0.000000 out_o1=0.100070 out_o2=0.889937
网络的输出：step:8061 loss=0.000000 out_o1=0.100069 out_o2=0.889937
网络的输出：step:8060 loss=0.000000 out_o1=0.100069 out_o2=0.889938
网络的输出：step:8059 loss=0.000000 out_o1=0.100069 out_o2=0.889938
网络的输出：step:8058 loss=0.000000 out_o1=0.100069 out_o2=0.889938
网络的输出：step:8057 loss=0.000000 out_o1=0.100068 out_o2=0.889938
网络的输出：step:8056 loss=0.000000 out_o1=0.100068 out_o2=0.889938
网络的输出：step:8055 loss=0.000000 out_o1=0.100068 out_o2=0.889939
网络的输出：step:8054 loss=0.000000 out_o1=0.100068 out_o2=0.889939
网络的输出：step:8053 loss=0.000000 out_o1=0.100067 out_o2=0.889939
网络的输出：step:8052 loss=0.000000 out_o1=0.100067 out_o2=0.889939
网络的输出：step:8051 loss=0.000000 out_o1=0.100067 out_o2=0.889940
网络的输出：step:8050 loss=0.000000 out_o1=0.100067 out_o2=0.889940
网络的输出：step:8049 loss=0.000000 out_o1=0.100066 out_o2=0.889940
网络的输出：step:8048 loss=0.000000 out_o1=0.100066 out_o2=0.889940
网络的输出：step:8047 loss=0.000000 out_o1=0.100066 out_o2=0.889940
网络的输出：step:8046 loss=0.000000 out_o1=0.100066 out_o2=0.889941
网络的输出：step:8045 loss=0.000000 out_o1=0.100066 out_o2=0.889941
网络的输出：step:8044 loss=0.000000 out_o1=0.100065 out_o2=0.889941
网络的输出：step:8043 loss=0.000000 out_o1=0.100065 out_o2=0.889941
网络的输出：step:8042 loss=0.000000 out_o1=0.100065 out_o2=0.889941
网络的输出：step:8041 loss=0.000000 out_o1=0.100065 out_o2=0.889942
网络的输出：step:8040 loss=0.000000 out_o1=0.100064 out_o2=0.889942
网络的输出：step:8039 loss=0.000000 out_o1=0.100064 out_o2=0.889942
网络的输出：step:8038 loss=0.000000 out_o1=0.100064 out_o2=0.889942
网络的输出：step:8037 loss=0.000000 out_o1=0.100064 out_o2=0.889942
网络的输出：step:8036 loss=0.000000 out_o1=0.100064 out_o2=0.889943
网络的输出：step:8035 loss=0.000000 out_o1=0.100063 out_o2=0.889943
网络的输出：step:8034 loss=0.000000 out_o1=0.100063 out_o2=0.889943
网络的输出：step:8033 loss=0.000000 out_o1=0.100063 out_o2=0.889943
网络的输出：step:8032 loss=0.000000 out_o1=0.100063 out_o2=0.889943
网络的输出：step:8031 loss=0.000000 out_o1=0.100062 out_o2=0.889944
网络的输出：step:8030 loss=0.000000 out_o1=0.100062 out_o2=0.889944
网络的输出：step:8029 loss=0.000000 out_o1=0.100062 out_o2=0.889944
网络的输出：step:8028 loss=0.000000 out_o1=0.100062 out_o2=0.889944
网络的输出：step:8027 loss=0.000000 out_o1=0.100062 out_o2=0.889944
网络的输出：step:8026 loss=0.000000 out_o1=0.100061 out_o2=0.889945
网络的输出：step:8025 loss=0.000000 out_o1=0.100061 out_o2=0.889945
网络的输出：step:8024 loss=0.000000 out_o1=0.100061 out_o2=0.889945
网络的输出：step:8023 loss=0.000000 out_o1=0.100061 out_o2=0.889945
网络的输出：step:8022 loss=0.000000 out_o1=0.100060 out_o2=0.889945
网络的输出：step:8021 loss=0.000000 out_o1=0.100060 out_o2=0.889946
网络的输出：step:8020 loss=0.000000 out_o1=0.100060 out_o2=0.889946
网络的输出：step:8019 loss=0.000000 out_o1=0.100060 out_o2=0.889946
网络的输出：step:8018 loss=0.000000 out_o1=0.100060 out_o2=0.889946
网络的输出：step:8017 loss=0.000000 out_o1=0.100059 out_o2=0.889946
网络的输出：step:8016 loss=0.000000 out_o1=0.100059 out_o2=0.889946
网络的输出：step:8015 loss=0.000000 out_o1=0.100059 out_o2=0.889947
网络的输出：step:8014 loss=0.000000 out_o1=0.100059 out_o2=0.889947
网络的输出：step:8013 loss=0.000000 out_o1=0.100059 out_o2=0.889947
网络的输出：step:8012 loss=0.000000 out_o1=0.100058 out_o2=0.889947
网络的输出：step:8011 loss=0.000000 out_o1=0.100058 out_o2=0.889947
网络的输出：step:8010 loss=0.000000 out_o1=0.100058 out_o2=0.889948
网络的输出：step:8009 loss=0.000000 out_o1=0.100058 out_o2=0.889948
网络的输出：step:8008 loss=0.000000 out_o1=0.100058 out_o2=0.889948
网络的输出：step:8007 loss=0.000000 out_o1=0.100057 out_o2=0.889948
网络的输出：step:8006 loss=0.000000 out_o1=0.100057 out_o2=0.889948
网络的输出：step:8005 loss=0.000000 out_o1=0.100057 out_o2=0.889949
网络的输出：step:8004 loss=0.000000 out_o1=0.100057 out_o2=0.889949
网络的输出：step:8003 loss=0.000000 out_o1=0.100057 out_o2=0.889949
网络的输出：step:8002 loss=0.000000 out_o1=0.100056 out_o2=0.889949
网络的输出：step:8001 loss=0.000000 out_o1=0.100056 out_o2=0.889949
网络的输出：step:8000 loss=0.000000 out_o1=0.100056 out_o2=0.889949
网络的输出：step:7999 loss=0.000000 out_o1=0.100056 out_o2=0.889950
网络的输出：step:7998 loss=0.000000 out_o1=0.100056 out_o2=0.889950
网络的输出：step:7997 loss=0.000000 out_o1=0.100055 out_o2=0.889950
网络的输出：step:7996 loss=0.000000 out_o1=0.100055 out_o2=0.889950
网络的输出：step:7995 loss=0.000000 out_o1=0.100055 out_o2=0.889950
网络的输出：step:7994 loss=0.000000 out_o1=0.100055 out_o2=0.889950
网络的输出：step:7993 loss=0.000000 out_o1=0.100055 out_o2=0.889951
网络的输出：step:7992 loss=0.000000 out_o1=0.100054 out_o2=0.889951
网络的输出：step:7991 loss=0.000000 out_o1=0.100054 out_o2=0.889951
网络的输出：step:7990 loss=0.000000 out_o1=0.100054 out_o2=0.889951
网络的输出：step:7989 loss=0.000000 out_o1=0.100054 out_o2=0.889951
网络的输出：step:7988 loss=0.000000 out_o1=0.100054 out_o2=0.889951
网络的输出：step:7987 loss=0.000000 out_o1=0.100054 out_o2=0.889952
网络的输出：step:7986 loss=0.000000 out_o1=0.100053 out_o2=0.889952
网络的输出：step:7985 loss=0.000000 out_o1=0.100053 out_o2=0.889952
网络的输出：step:7984 loss=0.000000 out_o1=0.100053 out_o2=0.889952
网络的输出：step:7983 loss=0.000000 out_o1=0.100053 out_o2=0.889952
网络的输出：step:7982 loss=0.000000 out_o1=0.100053 out_o2=0.889952
网络的输出：step:7981 loss=0.000000 out_o1=0.100052 out_o2=0.889953
网络的输出：step:7980 loss=0.000000 out_o1=0.100052 out_o2=0.889953
网络的输出：step:7979 loss=0.000000 out_o1=0.100052 out_o2=0.889953
网络的输出：step:7978 loss=0.000000 out_o1=0.100052 out_o2=0.889953
网络的输出：step:7977 loss=0.000000 out_o1=0.100052 out_o2=0.889953
网络的输出：step:7976 loss=0.000000 out_o1=0.100051 out_o2=0.889953
网络的输出：step:7975 loss=0.000000 out_o1=0.100051 out_o2=0.889954
网络的输出：step:7974 loss=0.000000 out_o1=0.100051 out_o2=0.889954
网络的输出：step:7973 loss=0.000000 out_o1=0.100051 out_o2=0.889954
网络的输出：step:7972 loss=0.000000 out_o1=0.100051 out_o2=0.889954
网络的输出：step:7971 loss=0.000000 out_o1=0.100051 out_o2=0.889954
网络的输出：step:7970 loss=0.000000 out_o1=0.100050 out_o2=0.889954
网络的输出：step:7969 loss=0.000000 out_o1=0.100050 out_o2=0.889955
网络的输出：step:7968 loss=0.000000 out_o1=0.100050 out_o2=0.889955
网络的输出：step:7967 loss=0.000000 out_o1=0.100050 out_o2=0.889955
网络的输出：step:7966 loss=0.000000 out_o1=0.100050 out_o2=0.889955
网络的输出：step:7965 loss=0.000000 out_o1=0.100050 out_o2=0.889955
网络的输出：step:7964 loss=0.000000 out_o1=0.100049 out_o2=0.889955
网络的输出：step:7963 loss=0.000000 out_o1=0.100049 out_o2=0.889956
网络的输出：step:7962 loss=0.000000 out_o1=0.100049 out_o2=0.889956
网络的输出：step:7961 loss=0.000000 out_o1=0.100049 out_o2=0.889956
网络的输出：step:7960 loss=0.000000 out_o1=0.100049 out_o2=0.889956
网络的输出：step:7959 loss=0.000000 out_o1=0.100049 out_o2=0.889956
网络的输出：step:7958 loss=0.000000 out_o1=0.100048 out_o2=0.889956
网络的输出：step:7957 loss=0.000000 out_o1=0.100048 out_o2=0.889956
网络的输出：step:7956 loss=0.000000 out_o1=0.100048 out_o2=0.889957
网络的输出：step:7955 loss=0.000000 out_o1=0.100048 out_o2=0.889957
网络的输出：step:7954 loss=0.000000 out_o1=0.100048 out_o2=0.889957
网络的输出：step:7953 loss=0.000000 out_o1=0.100048 out_o2=0.889957
网络的输出：step:7952 loss=0.000000 out_o1=0.100047 out_o2=0.889957
网络的输出：step:7951 loss=0.000000 out_o1=0.100047 out_o2=0.889957
网络的输出：step:7950 loss=0.000000 out_o1=0.100047 out_o2=0.889958
网络的输出：step:7949 loss=0.000000 out_o1=0.100047 out_o2=0.889958
网络的输出：step:7948 loss=0.000000 out_o1=0.100047 out_o2=0.889958
网络的输出：step:7947 loss=0.000000 out_o1=0.100047 out_o2=0.889958
网络的输出：step:7946 loss=0.000000 out_o1=0.100046 out_o2=0.889958
网络的输出：step:7945 loss=0.000000 out_o1=0.100046 out_o2=0.889958
网络的输出：step:7944 loss=0.000000 out_o1=0.100046 out_o2=0.889958
网络的输出：step:7943 loss=0.000000 out_o1=0.100046 out_o2=0.889959
网络的输出：step:7942 loss=0.000000 out_o1=0.100046 out_o2=0.889959
网络的输出：step:7941 loss=0.000000 out_o1=0.100046 out_o2=0.889959
网络的输出：step:7940 loss=0.000000 out_o1=0.100045 out_o2=0.889959
网络的输出：step:7939 loss=0.000000 out_o1=0.100045 out_o2=0.889959
网络的输出：step:7938 loss=0.000000 out_o1=0.100045 out_o2=0.889959
网络的输出：step:7937 loss=0.000000 out_o1=0.100045 out_o2=0.889959
网络的输出：step:7936 loss=0.000000 out_o1=0.100045 out_o2=0.889960
网络的输出：step:7935 loss=0.000000 out_o1=0.100045 out_o2=0.889960
网络的输出：step:7934 loss=0.000000 out_o1=0.100044 out_o2=0.889960
网络的输出：step:7933 loss=0.000000 out_o1=0.100044 out_o2=0.889960
网络的输出：step:7932 loss=0.000000 out_o1=0.100044 out_o2=0.889960
网络的输出：step:7931 loss=0.000000 out_o1=0.100044 out_o2=0.889960
网络的输出：step:7930 loss=0.000000 out_o1=0.100044 out_o2=0.889960
网络的输出：step:7929 loss=0.000000 out_o1=0.100044 out_o2=0.889961
网络的输出：step:7928 loss=0.000000 out_o1=0.100044 out_o2=0.889961
网络的输出：step:7927 loss=0.000000 out_o1=0.100043 out_o2=0.889961
网络的输出：step:7926 loss=0.000000 out_o1=0.100043 out_o2=0.889961
网络的输出：step:7925 loss=0.000000 out_o1=0.100043 out_o2=0.889961
网络的输出：step:7924 loss=0.000000 out_o1=0.100043 out_o2=0.889961
网络的输出：step:7923 loss=0.000000 out_o1=0.100043 out_o2=0.889961
网络的输出：step:7922 loss=0.000000 out_o1=0.100043 out_o2=0.889961
网络的输出：step:7921 loss=0.000000 out_o1=0.100042 out_o2=0.889962
网络的输出：step:7920 loss=0.000000 out_o1=0.100042 out_o2=0.889962
网络的输出：step:7919 loss=0.000000 out_o1=0.100042 out_o2=0.889962
网络的输出：step:7918 loss=0.000000 out_o1=0.100042 out_o2=0.889962
网络的输出：step:7917 loss=0.000000 out_o1=0.100042 out_o2=0.889962
网络的输出：step:7916 loss=0.000000 out_o1=0.100042 out_o2=0.889962
网络的输出：step:7915 loss=0.000000 out_o1=0.100042 out_o2=0.889962
网络的输出：step:7914 loss=0.000000 out_o1=0.100041 out_o2=0.889963
网络的输出：step:7913 loss=0.000000 out_o1=0.100041 out_o2=0.889963
网络的输出：step:7912 loss=0.000000 out_o1=0.100041 out_o2=0.889963
网络的输出：step:7911 loss=0.000000 out_o1=0.100041 out_o2=0.889963
网络的输出：step:7910 loss=0.000000 out_o1=0.100041 out_o2=0.889963
网络的输出：step:7909 loss=0.000000 out_o1=0.100041 out_o2=0.889963
网络的输出：step:7908 loss=0.000000 out_o1=0.100041 out_o2=0.889963
网络的输出：step:7907 loss=0.000000 out_o1=0.100040 out_o2=0.889963
网络的输出：step:7906 loss=0.000000 out_o1=0.100040 out_o2=0.889964
网络的输出：step:7905 loss=0.000000 out_o1=0.100040 out_o2=0.889964
网络的输出：step:7904 loss=0.000000 out_o1=0.100040 out_o2=0.889964
网络的输出：step:7903 loss=0.000000 out_o1=0.100040 out_o2=0.889964
网络的输出：step:7902 loss=0.000000 out_o1=0.100040 out_o2=0.889964
网络的输出：step:7901 loss=0.000000 out_o1=0.100040 out_o2=0.889964
网络的输出：step:7900 loss=0.000000 out_o1=0.100039 out_o2=0.889964
网络的输出：step:7899 loss=0.000000 out_o1=0.100039 out_o2=0.889964
网络的输出：step:7898 loss=0.000000 out_o1=0.100039 out_o2=0.889965
网络的输出：step:7897 loss=0.000000 out_o1=0.100039 out_o2=0.889965
网络的输出：step:7896 loss=0.000000 out_o1=0.100039 out_o2=0.889965
网络的输出：step:7895 loss=0.000000 out_o1=0.100039 out_o2=0.889965
网络的输出：step:7894 loss=0.000000 out_o1=0.100039 out_o2=0.889965
网络的输出：step:7893 loss=0.000000 out_o1=0.100039 out_o2=0.889965
网络的输出：step:7892 loss=0.000000 out_o1=0.100038 out_o2=0.889965
网络的输出：step:7891 loss=0.000000 out_o1=0.100038 out_o2=0.889965
网络的输出：step:7890 loss=0.000000 out_o1=0.100038 out_o2=0.889966
网络的输出：step:7889 loss=0.000000 out_o1=0.100038 out_o2=0.889966
网络的输出：step:7888 loss=0.000000 out_o1=0.100038 out_o2=0.889966
网络的输出：step:7887 loss=0.000000 out_o1=0.100038 out_o2=0.889966
网络的输出：step:7886 loss=0.000000 out_o1=0.100038 out_o2=0.889966
网络的输出：step:7885 loss=0.000000 out_o1=0.100037 out_o2=0.889966
网络的输出：step:7884 loss=0.000000 out_o1=0.100037 out_o2=0.889966
网络的输出：step:7883 loss=0.000000 out_o1=0.100037 out_o2=0.889966
网络的输出：step:7882 loss=0.000000 out_o1=0.100037 out_o2=0.889967
网络的输出：step:7881 loss=0.000000 out_o1=0.100037 out_o2=0.889967
网络的输出：step:7880 loss=0.000000 out_o1=0.100037 out_o2=0.889967
网络的输出：step:7879 loss=0.000000 out_o1=0.100037 out_o2=0.889967
网络的输出：step:7878 loss=0.000000 out_o1=0.100037 out_o2=0.889967
网络的输出：step:7877 loss=0.000000 out_o1=0.100036 out_o2=0.889967
网络的输出：step:7876 loss=0.000000 out_o1=0.100036 out_o2=0.889967
网络的输出：step:7875 loss=0.000000 out_o1=0.100036 out_o2=0.889967
网络的输出：step:7874 loss=0.000000 out_o1=0.100036 out_o2=0.889967
网络的输出：step:7873 loss=0.000000 out_o1=0.100036 out_o2=0.889968
网络的输出：step:7872 loss=0.000000 out_o1=0.100036 out_o2=0.889968
网络的输出：step:7871 loss=0.000000 out_o1=0.100036 out_o2=0.889968
网络的输出：step:7870 loss=0.000000 out_o1=0.100036 out_o2=0.889968
网络的输出：step:7869 loss=0.000000 out_o1=0.100035 out_o2=0.889968
网络的输出：step:7868 loss=0.000000 out_o1=0.100035 out_o2=0.889968
网络的输出：step:7867 loss=0.000000 out_o1=0.100035 out_o2=0.889968
网络的输出：step:7866 loss=0.000000 out_o1=0.100035 out_o2=0.889968
网络的输出：step:7865 loss=0.000000 out_o1=0.100035 out_o2=0.889968
网络的输出：step:7864 loss=0.000000 out_o1=0.100035 out_o2=0.889969
网络的输出：step:7863 loss=0.000000 out_o1=0.100035 out_o2=0.889969
网络的输出：step:7862 loss=0.000000 out_o1=0.100035 out_o2=0.889969
网络的输出：step:7861 loss=0.000000 out_o1=0.100034 out_o2=0.889969
网络的输出：step:7860 loss=0.000000 out_o1=0.100034 out_o2=0.889969
网络的输出：step:7859 loss=0.000000 out_o1=0.100034 out_o2=0.889969
网络的输出：step:7858 loss=0.000000 out_o1=0.100034 out_o2=0.889969
网络的输出：step:7857 loss=0.000000 out_o1=0.100034 out_o2=0.889969
网络的输出：step:7856 loss=0.000000 out_o1=0.100034 out_o2=0.889969
网络的输出：step:7855 loss=0.000000 out_o1=0.100034 out_o2=0.889970
网络的输出：step:7854 loss=0.000000 out_o1=0.100034 out_o2=0.889970
网络的输出：step:7853 loss=0.000000 out_o1=0.100033 out_o2=0.889970
网络的输出：step:7852 loss=0.000000 out_o1=0.100033 out_o2=0.889970
网络的输出：step:7851 loss=0.000000 out_o1=0.100033 out_o2=0.889970
网络的输出：step:7850 loss=0.000000 out_o1=0.100033 out_o2=0.889970
网络的输出：step:7849 loss=0.000000 out_o1=0.100033 out_o2=0.889970
网络的输出：step:7848 loss=0.000000 out_o1=0.100033 out_o2=0.889970
网络的输出：step:7847 loss=0.000000 out_o1=0.100033 out_o2=0.889970
网络的输出：step:7846 loss=0.000000 out_o1=0.100033 out_o2=0.889970
网络的输出：step:7845 loss=0.000000 out_o1=0.100033 out_o2=0.889971
网络的输出：step:7844 loss=0.000000 out_o1=0.100032 out_o2=0.889971
网络的输出：step:7843 loss=0.000000 out_o1=0.100032 out_o2=0.889971
网络的输出：step:7842 loss=0.000000 out_o1=0.100032 out_o2=0.889971
网络的输出：step:7841 loss=0.000000 out_o1=0.100032 out_o2=0.889971
网络的输出：step:7840 loss=0.000000 out_o1=0.100032 out_o2=0.889971
网络的输出：step:7839 loss=0.000000 out_o1=0.100032 out_o2=0.889971
网络的输出：step:7838 loss=0.000000 out_o1=0.100032 out_o2=0.889971
网络的输出：step:7837 loss=0.000000 out_o1=0.100032 out_o2=0.889971
网络的输出：step:7836 loss=0.000000 out_o1=0.100032 out_o2=0.889971
网络的输出：step:7835 loss=0.000000 out_o1=0.100031 out_o2=0.889972
网络的输出：step:7834 loss=0.000000 out_o1=0.100031 out_o2=0.889972
网络的输出：step:7833 loss=0.000000 out_o1=0.100031 out_o2=0.889972
网络的输出：step:7832 loss=0.000000 out_o1=0.100031 out_o2=0.889972
网络的输出：step:7831 loss=0.000000 out_o1=0.100031 out_o2=0.889972
网络的输出：step:7830 loss=0.000000 out_o1=0.100031 out_o2=0.889972
网络的输出：step:7829 loss=0.000000 out_o1=0.100031 out_o2=0.889972
网络的输出：step:7828 loss=0.000000 out_o1=0.100031 out_o2=0.889972
网络的输出：step:7827 loss=0.000000 out_o1=0.100031 out_o2=0.889972
网络的输出：step:7826 loss=0.000000 out_o1=0.100030 out_o2=0.889972
网络的输出：step:7825 loss=0.000000 out_o1=0.100030 out_o2=0.889973
网络的输出：step:7824 loss=0.000000 out_o1=0.100030 out_o2=0.889973
网络的输出：step:7823 loss=0.000000 out_o1=0.100030 out_o2=0.889973
网络的输出：step:7822 loss=0.000000 out_o1=0.100030 out_o2=0.889973
网络的输出：step:7821 loss=0.000000 out_o1=0.100030 out_o2=0.889973
网络的输出：step:7820 loss=0.000000 out_o1=0.100030 out_o2=0.889973
网络的输出：step:7819 loss=0.000000 out_o1=0.100030 out_o2=0.889973
网络的输出：step:7818 loss=0.000000 out_o1=0.100030 out_o2=0.889973
网络的输出：step:7817 loss=0.000000 out_o1=0.100030 out_o2=0.889973
网络的输出：step:7816 loss=0.000000 out_o1=0.100029 out_o2=0.889973
网络的输出：step:7815 loss=0.000000 out_o1=0.100029 out_o2=0.889974
网络的输出：step:7814 loss=0.000000 out_o1=0.100029 out_o2=0.889974
网络的输出：step:7813 loss=0.000000 out_o1=0.100029 out_o2=0.889974
网络的输出：step:7812 loss=0.000000 out_o1=0.100029 out_o2=0.889974
网络的输出：step:7811 loss=0.000000 out_o1=0.100029 out_o2=0.889974
网络的输出：step:7810 loss=0.000000 out_o1=0.100029 out_o2=0.889974
网络的输出：step:7809 loss=0.000000 out_o1=0.100029 out_o2=0.889974
网络的输出：step:7808 loss=0.000000 out_o1=0.100029 out_o2=0.889974
网络的输出：step:7807 loss=0.000000 out_o1=0.100029 out_o2=0.889974
网络的输出：step:7806 loss=0.000000 out_o1=0.100028 out_o2=0.889974
网络的输出：step:7805 loss=0.000000 out_o1=0.100028 out_o2=0.889974
网络的输出：step:7804 loss=0.000000 out_o1=0.100028 out_o2=0.889975
网络的输出：step:7803 loss=0.000000 out_o1=0.100028 out_o2=0.889975
网络的输出：step:7802 loss=0.000000 out_o1=0.100028 out_o2=0.889975
网络的输出：step:7801 loss=0.000000 out_o1=0.100028 out_o2=0.889975
网络的输出：step:7800 loss=0.000000 out_o1=0.100028 out_o2=0.889975
网络的输出：step:7799 loss=0.000000 out_o1=0.100028 out_o2=0.889975
网络的输出：step:7798 loss=0.000000 out_o1=0.100028 out_o2=0.889975
网络的输出：step:7797 loss=0.000000 out_o1=0.100028 out_o2=0.889975
网络的输出：step:7796 loss=0.000000 out_o1=0.100027 out_o2=0.889975
网络的输出：step:7795 loss=0.000000 out_o1=0.100027 out_o2=0.889975
网络的输出：step:7794 loss=0.000000 out_o1=0.100027 out_o2=0.889975
网络的输出：step:7793 loss=0.000000 out_o1=0.100027 out_o2=0.889975
网络的输出：step:7792 loss=0.000000 out_o1=0.100027 out_o2=0.889976
网络的输出：step:7791 loss=0.000000 out_o1=0.100027 out_o2=0.889976
网络的输出：step:7790 loss=0.000000 out_o1=0.100027 out_o2=0.889976
网络的输出：step:7789 loss=0.000000 out_o1=0.100027 out_o2=0.889976
网络的输出：step:7788 loss=0.000000 out_o1=0.100027 out_o2=0.889976
网络的输出：step:7787 loss=0.000000 out_o1=0.100027 out_o2=0.889976
网络的输出：step:7786 loss=0.000000 out_o1=0.100026 out_o2=0.889976
网络的输出：step:7785 loss=0.000000 out_o1=0.100026 out_o2=0.889976
网络的输出：step:7784 loss=0.000000 out_o1=0.100026 out_o2=0.889976
网络的输出：step:7783 loss=0.000000 out_o1=0.100026 out_o2=0.889976
网络的输出：step:7782 loss=0.000000 out_o1=0.100026 out_o2=0.889976
网络的输出：step:7781 loss=0.000000 out_o1=0.100026 out_o2=0.889976
网络的输出：step:7780 loss=0.000000 out_o1=0.100026 out_o2=0.889977
网络的输出：step:7779 loss=0.000000 out_o1=0.100026 out_o2=0.889977
网络的输出：step:7778 loss=0.000000 out_o1=0.100026 out_o2=0.889977
网络的输出：step:7777 loss=0.000000 out_o1=0.100026 out_o2=0.889977
网络的输出：step:7776 loss=0.000000 out_o1=0.100026 out_o2=0.889977
网络的输出：step:7775 loss=0.000000 out_o1=0.100025 out_o2=0.889977
网络的输出：step:7774 loss=0.000000 out_o1=0.100025 out_o2=0.889977
网络的输出：step:7773 loss=0.000000 out_o1=0.100025 out_o2=0.889977
网络的输出：step:7772 loss=0.000000 out_o1=0.100025 out_o2=0.889977
网络的输出：step:7771 loss=0.000000 out_o1=0.100025 out_o2=0.889977
网络的输出：step:7770 loss=0.000000 out_o1=0.100025 out_o2=0.889977
网络的输出：step:7769 loss=0.000000 out_o1=0.100025 out_o2=0.889977
网络的输出：step:7768 loss=0.000000 out_o1=0.100025 out_o2=0.889978
网络的输出：step:7767 loss=0.000000 out_o1=0.100025 out_o2=0.889978
网络的输出：step:7766 loss=0.000000 out_o1=0.100025 out_o2=0.889978
网络的输出：step:7765 loss=0.000000 out_o1=0.100025 out_o2=0.889978
网络的输出：step:7764 loss=0.000000 out_o1=0.100025 out_o2=0.889978
网络的输出：step:7763 loss=0.000000 out_o1=0.100024 out_o2=0.889978
网络的输出：step:7762 loss=0.000000 out_o1=0.100024 out_o2=0.889978
网络的输出：step:7761 loss=0.000000 out_o1=0.100024 out_o2=0.889978
网络的输出：step:7760 loss=0.000000 out_o1=0.100024 out_o2=0.889978
网络的输出：step:7759 loss=0.000000 out_o1=0.100024 out_o2=0.889978
网络的输出：step:7758 loss=0.000000 out_o1=0.100024 out_o2=0.889978
网络的输出：step:7757 loss=0.000000 out_o1=0.100024 out_o2=0.889978
网络的输出：step:7756 loss=0.000000 out_o1=0.100024 out_o2=0.889978
网络的输出：step:7755 loss=0.000000 out_o1=0.100024 out_o2=0.889979
网络的输出：step:7754 loss=0.000000 out_o1=0.100024 out_o2=0.889979
网络的输出：step:7753 loss=0.000000 out_o1=0.100024 out_o2=0.889979
网络的输出：step:7752 loss=0.000000 out_o1=0.100024 out_o2=0.889979
网络的输出：step:7751 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7750 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7749 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7748 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7747 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7746 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7745 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7744 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7743 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7742 loss=0.000000 out_o1=0.100023 out_o2=0.889979
网络的输出：step:7741 loss=0.000000 out_o1=0.100023 out_o2=0.889980
网络的输出：step:7740 loss=0.000000 out_o1=0.100023 out_o2=0.889980
网络的输出：step:7739 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7738 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7737 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7736 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7735 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7734 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7733 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7732 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7731 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7730 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7729 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7728 loss=0.000000 out_o1=0.100022 out_o2=0.889980
网络的输出：step:7727 loss=0.000000 out_o1=0.100022 out_o2=0.889981
网络的输出：step:7726 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7725 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7724 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7723 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7722 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7721 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7720 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7719 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7718 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7717 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7716 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7715 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7714 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7713 loss=0.000000 out_o1=0.100021 out_o2=0.889981
网络的输出：step:7712 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7711 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7710 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7709 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7708 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7707 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7706 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7705 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7704 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7703 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7702 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7701 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7700 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7699 loss=0.000000 out_o1=0.100020 out_o2=0.889982
网络的输出：step:7698 loss=0.000000 out_o1=0.100019 out_o2=0.889982
网络的输出：step:7697 loss=0.000000 out_o1=0.100019 out_o2=0.889982
网络的输出：step:7696 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7695 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7694 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7693 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7692 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7691 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7690 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7689 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7688 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7687 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7686 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7685 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7684 loss=0.000000 out_o1=0.100019 out_o2=0.889983
网络的输出：step:7683 loss=0.000000 out_o1=0.100018 out_o2=0.889983
网络的输出：step:7682 loss=0.000000 out_o1=0.100018 out_o2=0.889983
网络的输出：step:7681 loss=0.000000 out_o1=0.100018 out_o2=0.889983
网络的输出：step:7680 loss=0.000000 out_o1=0.100018 out_o2=0.889983
网络的输出：step:7679 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7678 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7677 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7676 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7675 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7674 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7673 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7672 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7671 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7670 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7669 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7668 loss=0.000000 out_o1=0.100018 out_o2=0.889984
网络的输出：step:7667 loss=0.000000 out_o1=0.100017 out_o2=0.889984
网络的输出：step:7666 loss=0.000000 out_o1=0.100017 out_o2=0.889984
网络的输出：step:7665 loss=0.000000 out_o1=0.100017 out_o2=0.889984
网络的输出：step:7664 loss=0.000000 out_o1=0.100017 out_o2=0.889984
网络的输出：step:7663 loss=0.000000 out_o1=0.100017 out_o2=0.889984
网络的输出：step:7662 loss=0.000000 out_o1=0.100017 out_o2=0.889984
网络的输出：step:7661 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7660 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7659 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7658 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7657 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7656 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7655 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7654 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7653 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7652 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7651 loss=0.000000 out_o1=0.100017 out_o2=0.889985
网络的输出：step:7650 loss=0.000000 out_o1=0.100016 out_o2=0.889985
网络的输出：step:7649 loss=0.000000 out_o1=0.100016 out_o2=0.889985
网络的输出：step:7648 loss=0.000000 out_o1=0.100016 out_o2=0.889985
网络的输出：step:7647 loss=0.000000 out_o1=0.100016 out_o2=0.889985
网络的输出：step:7646 loss=0.000000 out_o1=0.100016 out_o2=0.889985
网络的输出：step:7645 loss=0.000000 out_o1=0.100016 out_o2=0.889985
网络的输出：step:7644 loss=0.000000 out_o1=0.100016 out_o2=0.889985
网络的输出：step:7643 loss=0.000000 out_o1=0.100016 out_o2=0.889985
网络的输出：step:7642 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7641 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7640 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7639 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7638 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7637 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7636 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7635 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7634 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7633 loss=0.000000 out_o1=0.100016 out_o2=0.889986
网络的输出：step:7632 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7631 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7630 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7629 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7628 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7627 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7626 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7625 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7624 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7623 loss=0.000000 out_o1=0.100015 out_o2=0.889986
网络的输出：step:7622 loss=0.000000 out_o1=0.100015 out_o2=0.889987
网络的输出：step:7621 loss=0.000000 out_o1=0.100015 out_o2=0.889987
网络的输出：step:7620 loss=0.000000 out_o1=0.100015 out_o2=0.889987
网络的输出：step:7619 loss=0.000000 out_o1=0.100015 out_o2=0.889987
网络的输出：step:7618 loss=0.000000 out_o1=0.100015 out_o2=0.889987
网络的输出：step:7617 loss=0.000000 out_o1=0.100015 out_o2=0.889987
网络的输出：step:7616 loss=0.000000 out_o1=0.100015 out_o2=0.889987
网络的输出：step:7615 loss=0.000000 out_o1=0.100015 out_o2=0.889987
网络的输出：step:7614 loss=0.000000 out_o1=0.100015 out_o2=0.889987
网络的输出：step:7613 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7612 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7611 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7610 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7609 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7608 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7607 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7606 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7605 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7604 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7603 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7602 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7601 loss=0.000000 out_o1=0.100014 out_o2=0.889987
网络的输出：step:7600 loss=0.000000 out_o1=0.100014 out_o2=0.889988
网络的输出：step:7599 loss=0.000000 out_o1=0.100014 out_o2=0.889988
网络的输出：step:7598 loss=0.000000 out_o1=0.100014 out_o2=0.889988
网络的输出：step:7597 loss=0.000000 out_o1=0.100014 out_o2=0.889988
网络的输出：step:7596 loss=0.000000 out_o1=0.100014 out_o2=0.889988
网络的输出：step:7595 loss=0.000000 out_o1=0.100014 out_o2=0.889988
网络的输出：step:7594 loss=0.000000 out_o1=0.100014 out_o2=0.889988
网络的输出：step:7593 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7592 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7591 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7590 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7589 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7588 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7587 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7586 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7585 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7584 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7583 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7582 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7581 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7580 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7579 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7578 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7577 loss=0.000000 out_o1=0.100013 out_o2=0.889988
网络的输出：step:7576 loss=0.000000 out_o1=0.100013 out_o2=0.889989
网络的输出：step:7575 loss=0.000000 out_o1=0.100013 out_o2=0.889989
网络的输出：step:7574 loss=0.000000 out_o1=0.100013 out_o2=0.889989
网络的输出：step:7573 loss=0.000000 out_o1=0.100013 out_o2=0.889989
网络的输出：step:7572 loss=0.000000 out_o1=0.100013 out_o2=0.889989
网络的输出：step:7571 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7570 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7569 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7568 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7567 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7566 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7565 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7564 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7563 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7562 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7561 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7560 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7559 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7558 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7557 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7556 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7555 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7554 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7553 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7552 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7551 loss=0.000000 out_o1=0.100012 out_o2=0.889989
网络的输出：step:7550 loss=0.000000 out_o1=0.100012 out_o2=0.889990
网络的输出：step:7549 loss=0.000000 out_o1=0.100012 out_o2=0.889990
网络的输出：step:7548 loss=0.000000 out_o1=0.100012 out_o2=0.889990
网络的输出：step:7547 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7546 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7545 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7544 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7543 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7542 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7541 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7540 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7539 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7538 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7537 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7536 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7535 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7534 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7533 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7532 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7531 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7530 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7529 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7528 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7527 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7526 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7525 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7524 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7523 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7522 loss=0.000000 out_o1=0.100011 out_o2=0.889990
网络的输出：step:7521 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7520 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7519 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7518 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7517 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7516 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7515 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7514 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7513 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7512 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7511 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7510 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7509 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7508 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7507 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7506 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7505 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7504 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7503 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7502 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7501 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7500 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7499 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7498 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7497 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7496 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7495 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7494 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7493 loss=0.000000 out_o1=0.100010 out_o2=0.889991
网络的输出：step:7492 loss=0.000000 out_o1=0.100009 out_o2=0.889991
网络的输出：step:7491 loss=0.000000 out_o1=0.100009 out_o2=0.889991
网络的输出：step:7490 loss=0.000000 out_o1=0.100009 out_o2=0.889991
网络的输出：step:7489 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7488 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7487 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7486 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7485 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7484 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7483 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7482 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7481 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7480 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7479 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7478 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7477 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7476 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7475 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7474 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7473 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7472 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7471 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7470 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7469 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7468 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7467 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7466 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7465 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7464 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7463 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7462 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7461 loss=0.000000 out_o1=0.100009 out_o2=0.889992
网络的输出：step:7460 loss=0.000000 out_o1=0.100008 out_o2=0.889992
网络的输出：step:7459 loss=0.000000 out_o1=0.100008 out_o2=0.889992
网络的输出：step:7458 loss=0.000000 out_o1=0.100008 out_o2=0.889992
网络的输出：step:7457 loss=0.000000 out_o1=0.100008 out_o2=0.889992
网络的输出：step:7456 loss=0.000000 out_o1=0.100008 out_o2=0.889992
网络的输出：step:7455 loss=0.000000 out_o1=0.100008 out_o2=0.889992
网络的输出：step:7454 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7453 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7452 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7451 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7450 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7449 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7448 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7447 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7446 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7445 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7444 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7443 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7442 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7441 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7440 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7439 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7438 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7437 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7436 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7435 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7434 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7433 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7432 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7431 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7430 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7429 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7428 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7427 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7426 loss=0.000000 out_o1=0.100008 out_o2=0.889993
网络的输出：step:7425 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7424 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7423 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7422 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7421 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7420 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7419 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7418 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7417 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7416 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7415 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7414 loss=0.000000 out_o1=0.100007 out_o2=0.889993
网络的输出：step:7413 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7412 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7411 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7410 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7409 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7408 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7407 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7406 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7405 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7404 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7403 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7402 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7401 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7400 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7399 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7398 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7397 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7396 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7395 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7394 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7393 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7392 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7391 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7390 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7389 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7388 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7387 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7386 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7385 loss=0.000000 out_o1=0.100007 out_o2=0.889994
网络的输出：step:7384 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7383 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7382 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7381 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7380 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7379 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7378 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7377 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7376 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7375 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7374 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7373 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7372 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7371 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7370 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7369 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7368 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7367 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7366 loss=0.000000 out_o1=0.100006 out_o2=0.889994
网络的输出：step:7365 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7364 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7363 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7362 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7361 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7360 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7359 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7358 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7357 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7356 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7355 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7354 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7353 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7352 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7351 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7350 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7349 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7348 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7347 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7346 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7345 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7344 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7343 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7342 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7341 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7340 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7339 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7338 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7337 loss=0.000000 out_o1=0.100006 out_o2=0.889995
网络的输出：step:7336 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7335 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7334 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7333 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7332 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7331 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7330 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7329 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7328 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7327 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7326 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7325 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7324 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7323 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7322 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7321 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7320 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7319 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7318 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7317 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7316 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7315 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7314 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7313 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7312 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7311 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7310 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7309 loss=0.000000 out_o1=0.100005 out_o2=0.889995
网络的输出：step:7308 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7307 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7306 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7305 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7304 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7303 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7302 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7301 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7300 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7299 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7298 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7297 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7296 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7295 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7294 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7293 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7292 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7291 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7290 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7289 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7288 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7287 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7286 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7285 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7284 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7283 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7282 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7281 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7280 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7279 loss=0.000000 out_o1=0.100005 out_o2=0.889996
网络的输出：step:7278 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7277 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7276 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7275 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7274 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7273 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7272 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7271 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7270 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7269 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7268 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7267 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7266 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7265 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7264 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7263 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7262 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7261 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7260 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7259 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7258 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7257 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7256 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7255 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7254 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7253 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7252 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7251 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7250 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7249 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7248 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7247 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7246 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7245 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7244 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7243 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7242 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7241 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7240 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7239 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7238 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7237 loss=0.000000 out_o1=0.100004 out_o2=0.889996
网络的输出：step:7236 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7235 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7234 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7233 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7232 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7231 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7230 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7229 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7228 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7227 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7226 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7225 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7224 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7223 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7222 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7221 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7220 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7219 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7218 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7217 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7216 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7215 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7214 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7213 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7212 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7211 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7210 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7209 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7208 loss=0.000000 out_o1=0.100004 out_o2=0.889997
网络的输出：step:7207 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7206 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7205 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7204 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7203 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7202 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7201 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7200 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7199 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7198 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7197 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7196 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7195 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7194 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7193 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7192 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7191 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7190 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7189 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7188 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7187 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7186 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7185 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7184 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7183 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7182 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7181 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7180 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7179 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7178 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7177 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7176 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7175 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7174 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7173 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7172 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7171 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7170 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7169 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7168 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7167 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7166 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7165 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7164 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7163 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7162 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7161 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7160 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7159 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7158 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7157 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7156 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7155 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7154 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7153 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7152 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7151 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7150 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7149 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7148 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7147 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7146 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7145 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7144 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7143 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7142 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7141 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7140 loss=0.000000 out_o1=0.100003 out_o2=0.889997
网络的输出：step:7139 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7138 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7137 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7136 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7135 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7134 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7133 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7132 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7131 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7130 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7129 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7128 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7127 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7126 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7125 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7124 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7123 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7122 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7121 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7120 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7119 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7118 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7117 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7116 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7115 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7114 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7113 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7112 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7111 loss=0.000000 out_o1=0.100003 out_o2=0.889998
网络的输出：step:7110 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7109 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7108 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7107 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7106 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7105 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7104 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7103 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7102 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7101 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7100 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7099 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7098 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7097 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7096 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7095 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7094 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7093 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7092 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7091 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7090 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7089 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7088 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7087 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7086 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7085 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7084 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7083 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7082 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7081 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7080 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7079 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7078 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7077 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7076 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7075 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7074 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7073 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7072 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7071 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7070 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7069 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7068 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7067 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7066 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7065 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7064 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7063 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7062 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7061 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7060 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7059 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7058 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7057 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7056 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7055 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7054 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7053 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7052 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7051 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7050 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7049 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7048 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7047 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7046 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7045 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7044 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7043 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7042 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7041 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7040 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7039 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7038 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7037 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7036 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7035 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7034 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7033 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7032 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7031 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7030 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7029 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7028 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7027 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7026 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7025 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7024 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7023 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7022 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7021 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7020 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7019 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7018 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7017 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7016 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7015 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7014 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7013 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7012 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7011 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7010 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7009 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7008 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7007 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7006 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7005 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7004 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7003 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7002 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7001 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:7000 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:6999 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:6998 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:6997 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:6996 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:6995 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:6994 loss=0.000000 out_o1=0.100002 out_o2=0.889998
网络的输出：step:6993 loss=0.000000 out_o1=0.100002 out_o2=0.889999
网络的输出：step:6992 loss=0.000000 out_o1=0.100002 out_o2=0.889999
网络的输出：step:6991 loss=0.000000 out_o1=0.100002 out_o2=0.889999
网络的输出：step:6990 loss=0.000000 out_o1=0.100002 out_o2=0.889999
网络的输出：step:6989 loss=0.000000 out_o1=0.100000 out_o2=0.890000
网络的输出：step:6988 loss=0.000000 out_o1=0.100000 out_o2=0.890000