tensorflow1

1, 练习

[root@shenzhen ~]# cat /server/tensorflow/tensor1.py
#!/usr/local/bin/python3
#coding:utf-8

import tensorflow as tf
import numpy as np

#create data
x_data = np.random.rand(100).astype(np.float32)
y_data = x_data*0.1 + 0.3

###create tensorflow structure start###
Weights = tf.Variable(tf.random_uniform([1],-1.0,1.0))
biases = tf.Variable(tf.zeros([1]))

y = Weights*x_data + biases

loss = tf.reduce_mean(tf.square(y - y_data))
optimizer = tf.train.GradientDescentOptimizer(0.5)
train = optimizer.minimize(loss)

#init = tf.initialize_all_variables()
init = tf.global_variables_initializer()
###create tensorflow structure start###

sess = tf.Session()
sess.run(init)  #very important

for step in range(201):
    sess.run(train)
    if step % 20 == 0:
        print(step, sess.run(Weights), sess.run(biases))




[root@shenzhen tensorflow]# python3 tensor1.py
2018-08-20 20:58:14.585672: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
0 [0.5822645] [0.00799593]
20 [0.27060172] [0.19762385]
40 [0.16020724] [0.26387033]
60 [0.12124781] [0.28724945]
80 [0.10749861] [0.2955002]
100 [0.10264634] [0.29841197]
120 [0.10093395] [0.29943955]
140 [0.10032961] [0.2998022]
160 [0.10011631] [0.2999302]
180 [0.10004105] [0.2999754]
200 [0.10001447] [0.29999134]

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