在训练自己神经网络的时候，经常会用到已经训练好的权重来初始化自己的网络。比如，我们总是自己download下来一个权重文件，后缀名是npy或者mat，虽然知道里面存的是相应网络层的权重，但一直没打开看过。
例子： 用VGG19做style transfer的时候，会有一个vgg19.npy ， 训练网络的时候加载这个文件可以极大的提升网络速度。就是下图中红色箭头所指的npy文件。
常见的python IDE都可以打开这个npy文件，我用的是anaconda的spyder
import numpy as np
wDict = np.load('vgg19.npy',encoding = "bytes").item()注：因为要用到numpy的load的函数，所以导入相应的包就行，然后记得加上编码格式encoding = “bytes” 不然会显示很多16进制的数据，load()返回的是一个字典结构的数据。
加载之后，可以很清楚的看到npy中的数据信息，如下：
wDict = np.load('vgg19.npy',encoding = "bytes").item()
wDict
Out[26]:
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[ -1.98119320e-02, 2.86633824e-03, -1.22174639e-02, ...,
5.96287753e-03, -1.02376249e-02, -2.83550378e-03],
[ -1.53276906e-03, 4.66573052e-03, -1.00217061e-02, ...,
1.10392610e-03, -4.25001746e-03, -1.59902789e-03],
[ 2.21274514e-03, -9.95873939e-03, -3.52680823e-03, ...,
6.14281325e-03, -8.67947098e-03, 7.34424731e-03]],
[[ 2.77414429e-03, -1.01103941e-02, 9.74554848e-03, ...,
-1.02112377e-02, -1.44785689e-02, 1.21407560e-03],
[ -1.67652545e-03, -3.57790780e-03, 4.46578907e-03, ...,
5.79709047e-03, 5.87015692e-03, -1.04747936e-02],
[ -5.69471903e-03, 8.23269971e-03, 1.03080145e-03, ...,
-1.34846335e-03, 2.33704760e-03, 9.77448002e-03],
...,
[ -1.71827897e-02, 9.79280937e-03, -1.15703363e-02, ...,
2.22962582e-03, -1.15799783e-02, -2.78029056e-05],
[ 1.56734069e-03, -3.35355464e-04, -1.02505209e-02, ...,
-2.30914028e-03, -6.29228912e-03, -1.26812803e-02],
[ 1.52901199e-03, 1.20618602e-03, 2.17613252e-03, ...,
2.33109901e-03, -1.24086253e-02, 9.01969522e-03]]],
[[[ -2.34540575e-03, -1.58275978e-03, 5.28113171e-03, ...,
-6.48063887e-03, -1.43522928e-02, -1.49356071e-02],
[ 3.68439622e-04, -3.14945751e-03, -1.12584897e-03, ...,
-8.84497538e-04, -8.60083848e-03, -1.17632775e-02],
[ -1.49174565e-02, 4.30487283e-03, 8.30735639e-03, ...,
1.08817546e-02, -4.24329890e-03, 2.02157088e-02],
...,
[ -1.31006958e-02, -4.40538209e-03, -1.67192437e-03, ...,
-2.12202547e-03, -4.25080024e-03, -3.07897478e-03],
[ 9.73718055e-03, 2.21970095e-03, -1.13971774e-02, ...,
-6.34157157e-04, -6.17254898e-03, 1.69638172e-03],
[ 6.22970343e-04, -9.79403779e-03, -5.49571356e-03, ...,
1.37457522e-02, -3.95238865e-03, 9.32093523e-03]],
[[ -7.13698380e-03, 1.09673897e-02, 4.22565313e-03, ...,
-1.71645954e-02, -1.10132070e-02, -1.12656644e-02],
[ -1.32304954e-03, -6.04469655e-03, -3.76053184e-04, ...,
8.25881551e-04, -4.83444147e-03, -1.17608542e-02],
[ -1.84818432e-02, 4.87250881e-03, -9.58746183e-04, ...,
6.91350130e-03, 4.19768225e-03, 1.87771041e-02],
...,
[ -2.00066026e-02, -1.61447506e-02, -7.42201181e-03, ...,
-4.53556539e-04, 8.32473568e-04, -6.13161083e-03],
[ 1.37481727e-02, 2.99462699e-05, -7.46200001e-03, ...,
-2.18416867e-03, -5.18421596e-03, -2.01916485e-03],
[ 2.47353246e-03, -9.50793549e-03, -1.91365695e-03, ...,
2.81364680e-03, -2.01389659e-04, 1.30591951e-02]],
[[ -7.25658890e-03, 6.49956148e-03, 1.12716639e-02, ...,
-1.07129775e-02, -8.31505191e-03, -3.29536456e-03],
[ 4.50425985e-04, -6.10025832e-03, -1.39445078e-03, ...,
5.19323302e-03, -5.54859452e-03, -1.10703614e-02],
[ -1.08104490e-03, 2.96209264e-03, -2.23065435e-04, ...,
2.43007019e-03, 6.53652940e-03, 9.93956253e-03],
...,
[ -1.65789779e-02, -1.28223039e-02, -6.77277986e-03, ...,
-1.27276487e-03, -5.73587138e-04, -3.58317466e-03],
[ 1.25176357e-02, -8.49889111e-05, -7.47060170e-03, ...,
-5.00274356e-04, -5.78734837e-03, -5.30772563e-03],
[ 6.96085626e-04, 6.93595828e-03, 1.59051921e-03, ...,
-3.93837830e-03, -1.18104578e-03, 1.19776661e-02]]],
[[[ -1.02636125e-03, -5.87153947e-03, 1.44681223e-02, ...,
7.36014778e-03, -1.14696287e-02, -1.21023599e-02],
[ 3.62429116e-03, -2.99645239e-03, 2.81069754e-03, ...,
9.46899131e-03, -1.60126705e-02, -4.04415699e-03],
[ -6.66269008e-03, 1.68252119e-03, 7.33313267e-04, ...,
7.31864152e-03, -1.02206657e-03, 1.41346073e-02],
...,
[ -3.21257906e-03, -1.14844870e-02, 2.45323358e-03, ...,
-3.03284847e-03, -3.13062547e-03, -2.62420299e-03],
[ 4.03000601e-03, 2.86754244e-03, -1.07591907e-02, ...,
9.56183486e-03, -6.35347702e-03, 1.39129590e-02],
[ -7.29994895e-03, -1.32190576e-02, -3.01869260e-03, ...,
1.92004198e-03, 1.49073149e-03, 6.71637338e-03]],
[[ -5.43970661e-03, -1.88446522e-03, 9.30184312e-03, ...,
2.29428848e-03, -6.73306314e-03, -5.91030996e-03],
[ 3.70792765e-03, -4.12858697e-03, 3.11990990e-03, ...,
8.17631930e-03, -1.46908555e-02, -5.94564620e-03],
[ -1.03015797e-02, 3.08639533e-03, -5.55461738e-03, ...,
6.42020348e-03, 8.30517430e-03, 9.89044365e-03],
...,
[ -6.65597478e-03, -1.80843100e-02, -6.56496617e-04, ...,
-4.29353956e-03, 1.38415920e-03, -6.86022127e-03],
[ 5.64344227e-03, 1.54564728e-03, -8.60143919e-03, ...,
5.10720629e-03, -5.96621819e-03, 7.42409844e-03],
[ -7.63243763e-03, -4.14775405e-03, 6.78232755e-05, ...,
-2.18830351e-03, 3.48017574e-03, 4.30709450e-03]],
[[ -4.24348703e-03, -3.30048642e-04, 7.60782976e-03, ...,
9.06358939e-03, -7.00026751e-03, 2.95425369e-03],
[ 6.57413062e-03, -5.83347119e-03, 1.44017872e-03, ...,
1.58484876e-02, -1.65756773e-02, -6.18147571e-03],
[ -1.95015594e-03, 1.72769674e-03, -3.25712934e-03, ...,
4.01532324e-03, 1.79038919e-03, 1.70553708e-03],
...,
[ -5.96856838e-03, -1.83225013e-02, 7.26093363e-04, ...,
-2.65347888e-03, 4.91603976e-04, -3.10826441e-03],
[ 8.74216482e-03, 4.83999914e-03, -8.53611901e-03, ...,
1.00632813e-02, -7.58226728e-03, 5.94255747e-03],
[ -4.30403650e-03, 1.31011382e-02, 3.71440011e-03, ...,
-4.42841882e-03, 5.54390717e-03, 2.17499002e-03]]]], dtype=float32),
array([-0.0102901 , 0.14897868, 0.24727297, ..., 0.21062127,
-0.06290242, 0.03634001], dtype=float32)],
'conv5_4': [array([[[[ -4.64460906e-03, 1.46970386e-02, 3.23988590e-03, ...,
-4.33280692e-03, -8.06200609e-04, 2.47608847e-03],
[ 5.03372960e-03, -5.71580091e-03, 6.78836554e-03, ...,
1.08196763e-02, 3.62628512e-03, 1.43926090e-03],
[ -6.81616180e-03, 6.24293694e-03, 1.04397337e-03, ...,
-1.91838283e-03, 8.97154212e-03, 1.37661071e-03],
...,
[ 2.83825444e-03, -7.85127282e-03, -5.45571279e-03, ...,
-3.88198742e-03, 1.94512017e-03, -3.39086540e-03],
[ 8.18251166e-03, 4.36121924e-03, -1.82194239e-03, ...,
-6.19367976e-03, -1.13867195e-02, -7.39785610e-03],
[ -6.48834568e-04, 1.49349002e-02, 1.63981728e-02, ...,
1.25553356e-02, 6.70782290e-03, -4.48068931e-05]],
[[ -5.89831220e-03, 1.63694508e-02, 5.88402897e-03, ...,
2.22208491e-03, 7.25099060e-04, 3.70497908e-03],
[ 6.45378651e-03, -2.95020780e-03, 6.38980558e-03, ...,
9.81882587e-03, -6.77876582e-04, 5.50230732e-03],
[ -8.57092161e-03, 5.60212275e-03, 7.24332116e-04, ...,
-2.10273633e-04, 3.58701241e-03, 5.59673319e-03],
...,
[ -4.34114045e-04, -6.09637843e-03, -8.38953350e-03, ...,
-6.55209552e-03, -3.17041855e-03, -8.94788001e-03],
[ 2.26315507e-03, 4.45337594e-03, -3.33314156e-03, ...,
-1.04323775e-02, -1.27455620e-02, -9.77438968e-03],
[ 2.71122059e-04, 1.41807720e-02, 9.27395374e-03, ...,
1.28919352e-02, 3.32434732e-03, -2.05961429e-03]],
[[ -5.94930071e-03, 7.29300687e-03, 3.74761363e-03, ...,
-3.70663445e-04, 8.54880665e-04, 3.05476505e-03],
[ 1.08139487e-02, -6.59472216e-03, 2.56913039e-03, ...,
1.17091043e-02, 4.76974325e-04, 5.49601531e-03],
[ -8.35467875e-03, 6.58115419e-03, -2.51040817e-03, ...,
3.82827362e-04, 6.11248333e-03, 3.29998182e-03],
...,
[ -3.68938991e-03, -6.99516665e-03, -9.28329583e-03, ...,
-6.24673534e-03, -1.31640828e-03, -3.77091393e-03],
[ 7.00023258e-03, 1.03664389e-02, -2.96382071e-03, ...,
-8.15600343e-03, -1.92760136e-02, -8.77546053e-03],
[ 2.81779270e-04, 2.14575492e-02, 2.16775248e-03, ...,
6.26583630e-03, -6.93258597e-04, -5.37318876e-03]]],
[[[ -3.18716560e-03, 1.55970119e-02, 4.11854405e-03, ...,
2.19621975e-03, 5.72895817e-03, 9.01159830e-03],
[ -2.43616104e-03, -6.70797145e-03, 1.35817053e-02, ...,
8.46144930e-03, 3.25467857e-03, -7.73305446e-03],
[ -3.73202702e-03, 2.24496820e-03, 1.59466744e-03, ...,
3.45143443e-03, 5.86440787e-03, -1.82165694e-03],
...,
[ 2.07593665e-03, -5.45899291e-03, -5.04242489e-03, ...,
-1.02900043e-02, -1.07766711e-04, 5.49792591e-03],
[ 9.42313671e-03, 7.01189600e-03, -5.15590236e-03, ...,
3.11737531e-03, -5.29778237e-03, -9.76125803e-03],
[ -3.72260250e-03, 1.66615099e-02, 1.57298483e-02, ...,
1.10775931e-02, -1.05730513e-04, 7.58369511e-04]],
[[ -1.12977379e-03, 1.63770095e-02, 4.15152078e-03, ...,
1.02110086e-02, 7.31513137e-03, 1.11510167e-02],
[ -6.88954769e-03, 1.78497878e-03, 1.59396641e-02, ...,
8.34671874e-03, -3.59911891e-03, -9.40499594e-04],
[ -2.95199081e-03, 5.53861540e-03, -1.25672552e-03, ...,
2.76360102e-03, -1.24759472e-03, 4.31524350e-05],
...,
[ -1.37955009e-03, -1.05935838e-02, -8.86530895e-03, ...,
-9.35849641e-03, -2.01298599e-03, -3.20317526e-03],
[ 2.74901558e-03, 6.63221534e-03, -7.70525262e-03, ...,
-3.45036550e-03, -7.28060910e-03, -1.26136551e-02],
[ -4.61412547e-03, 1.87351815e-02, 7.32635474e-03, ...,
7.14145321e-03, -7.05056498e-03, -5.69822034e-03]],
[[ -2.67480151e-04, 8.65705032e-03, 2.64361181e-04, ...,
3.89628112e-03, 6.08021021e-03, 7.93793984e-03],
[ -5.29927341e-03, -2.38996278e-03, 9.54207499e-03, ...,
6.10252563e-03, -3.08776600e-03, -5.05329110e-04],
[ -4.30843700e-03, 9.70867928e-03, -1.87622290e-03, ...,
1.44669483e-03, 1.76377466e-03, -2.82938592e-03],
...,
[ -2.72044400e-03, -1.13373799e-02, -7.22716749e-03, ...,
-6.61387341e-03, -1.64134754e-03, -2.57808180e-03],
[ 3.01681925e-03, 1.00331912e-02, -8.44280049e-03, ...,
-1.62352750e-03, -9.00739804e-03, -1.08132167e-02],
[ -3.11200903e-03, 2.19431743e-02, -3.69453541e-04, ...,
-6.12541335e-03, -8.77982844e-03, -6.98903855e-03]]],
[[[ -1.77001476e-03, 1.84540525e-02, 7.40328571e-03, ...,
-1.68432831e-03, 8.72618170e-04, -2.65053916e-03],
[ -1.32983597e-03, -4.45298851e-03, 1.27582522e-02, ...,
-2.39226007e-04, 3.40099563e-03, -3.22895194e-03],
[ -3.62029136e-03, -2.71379994e-03, 6.04415825e-03, ...,
4.98306286e-03, 6.07419666e-03, -2.19767884e-04],
...,
[ 1.93926110e-03, -6.24994328e-03, -6.91891788e-03, ...,
-1.21124107e-02, 8.39559187e-04, 1.38892727e-02],
[ 1.23516535e-02, 4.64934111e-03, -7.61828944e-03, ...,
3.92674049e-03, -8.20212811e-03, -8.19598883e-03],
[ -1.19092558e-02, 1.94326155e-02, 1.07813235e-02, ...,
2.94639822e-03, 2.53679650e-03, 1.40561454e-03]],
[[ -2.28211936e-03, 2.17646752e-02, 6.21582801e-03, ...,
1.32409635e-03, 1.05948793e-03, 5.24257729e-03],
[ -4.45178291e-03, 1.25527813e-03, 1.53974965e-02, ...,
1.06666482e-03, 1.43120892e-03, 3.30407359e-03],
[ -8.95933481e-04, -4.58084505e-05, 6.76853256e-03, ...,
4.50214650e-03, -7.70737301e-04, 1.34513294e-03],
...,
[ -6.82980753e-04, -1.19287400e-02, -9.62882489e-03, ...,
-1.01497164e-02, 8.97100777e-04, 7.28041120e-03],
[ 5.22931619e-03, 1.17369567e-03, -9.19509307e-03, ...,
-2.82487879e-03, -7.05266371e-03, -1.43885957e-02],
[ -1.12686101e-02, 2.19178833e-02, 5.83465165e-03, ...,
-1.94001349e-03, -6.15466759e-03, -2.13660742e-03]],
[[ -3.09869600e-03, 1.81329362e-02, 1.08373153e-03, ...,
-1.97277125e-03, -4.33261227e-03, 2.10160739e-03],
[ -3.67690460e-03, -4.78806178e-04, 8.88485182e-03, ...,
-3.23657203e-03, -4.27351892e-03, 2.86180456e-03],
[ -6.04564138e-03, 1.39211654e-03, 5.86289586e-03, ...,
1.84669881e-03, 2.07760767e-03, -8.94306359e-05],
...,
[ -1.50885797e-04, -5.45113767e-03, -7.32252188e-03, ...,
-8.98477715e-03, -1.53186929e-03, 8.51203315e-03],
[ 3.33734229e-03, 4.23362758e-03, -1.09871561e-02, ...,
2.55097472e-03, -8.11156724e-03, -1.12061687e-02],
[ -2.35706847e-03, 2.31672842e-02, -1.35318539e-03, ...,
-1.16477236e-02, -3.62263573e-03, -1.09048560e-03]]]], dtype=float32),
array([ 0.72227454, -0.48572719, 0.40565884, ..., 0.13710213,
0.78143471, 0.02216879], dtype=float32)],
'fc6': [array([[ 7.40604708e-04, -9.02350512e-05, 4.19194781e-04, ...,
2.06465763e-03, 4.89793660e-04, -9.68067034e-04],
[ 3.14755860e-04, -6.47811452e-04, 3.18553793e-04, ...,
1.45915500e-03, -2.97821150e-03, 9.39332356e-04],
[ -2.26965826e-03, 2.21832516e-03, -4.33806377e-03, ...,
4.40456817e-04, -5.20563743e-04, -3.56751098e-03],
...,
[ 6.51195063e-04, 3.40976194e-03, 1.02372083e-03, ...,
2.11312552e-03, -1.20898068e-03, -9.71066242e-04],
[ -1.15534570e-03, -2.23646942e-03, 2.28907494e-03, ...,
3.22446157e-03, 1.58825936e-03, 9.52470757e-04],
[ 5.48932375e-03, 3.71409138e-03, -3.65022337e-03, ...,
-2.79871700e-03, -1.06926612e-03, -2.58691004e-03]], dtype=float32),
array([-0.2117956 , 0.13673484, -0.26404628, ..., -0.17158809,
0.17889582, -0.18894476], dtype=float32)],
'fc7': [array([[-0.00172316, 0.00286428, -0.00297549, ..., -0.00590716,
0.00495273, -0.00205698],
[-0.00712697, 0.0020863 , -0.00836112, ..., -0.0081926 ,
0.00728586, 0.00199532],
[ 0.00150189, 0.00048826, -0.00610427, ..., -0.00096952,
0.0008887 , -0.00776915],
...,
[-0.00826923, -0.00205239, -0.00334818, ..., -0.00268083,
-0.00772532, -0.00136419],
[ 0.00218042, -0.00020831, -0.00074314, ..., -0.00051785,
-0.00084818, 0.0013158 ],
[-0.00407353, -0.00070063, 0.00279221, ..., 0.00707006,
0.00687087, -0.00187235]], dtype=float32),
array([ 0.63382286, 0.4577255 , 0.57202035, ..., 0.50367379,
0.41717583, 0.6895467 ], dtype=float32)],
'fc8': [array([[ 0.01176211, -0.00695795, -0.00687687, ..., -0.00420434,
-0.00535216, 0.01039517],
[-0.01112345, -0.00393374, -0.00229628, ..., -0.01470724,
-0.00365668, -0.00712133],
[ 0.01058053, 0.0090458 , -0.007712 , ..., -0.00648357,
0.00627135, -0.01826164],
...,
[-0.00123343, 0.00622988, -0.00287169, ..., 0.00051258,
-0.00073095, -0.01685441],
[ 0.00171044, 0.00411054, -0.00296495, ..., -0.0050641 ,
0.00190555, 0.01436081],
[ 0.00163208, 0.00713213, -0.01867916, ..., -0.00590492,
-0.00349675, 0.01387538]], dtype=float32),
array([-0.200069 , -0.14519386, 0.00264044, ..., 0.13941061,
-0.02203658, 0.08611878], dtype=float32)]}可以看到conv1_1,conv1_2,....fc8 对应的是vgg19的每层参数信息，参数中包含了权重w和偏置b，比如wDict['conv1_1'][0]是访问w，wDict['conv1_1'][1]是访问conv1_1层对应的偏置。