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AntreasAntoniou 2017-11-06 14:09:45 +00:00 committed by GitHub
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ConvolutionalLayer:
Fprop: [[[[ 141 141 141]
[ 161 161 161]
[ 256 256 256]]
[[ -122 -122 -122]
[ -102 -102 -102]
[ -127 -127 -127]]]
[[[ -729 -740 -751]
[-1079 -1094 -1109]
[-1820 -1846 -1872]]
[[ 844 857 870]
[ 686 695 704]
[ 1613 1635 1657]]]]
Bprop: [[[[ 147 319 305 162]
[ 338 716 680 354]
[ 290 608 572 294]
[ 149 307 285 144]]
[[ 23 79 81 54]
[ 114 284 280 162]
[ 114 272 268 150]
[ 73 163 157 84]]
[[-101 -161 -143 -54]
[-110 -148 -120 -30]
[ -62 -64 -36 6]
[ -3 19 29 24]]]
[[[ 39 67 53 18]
[ 50 68 32 -6]
[ 2 -40 -76 -66]
[ -31 -89 -111 -72]]
[[ 59 115 117 54]
[ 114 212 208 90]
[ 114 200 196 78]
[ 37 55 49 12]]
[[ 79 163 181 90]
[ 178 356 384 186]
[ 226 440 468 222]
[ 105 199 209 96]]]]
Grads_wrt_params: (array([[[[ 78, 78],
[ 168, 168]],
[[2332, 2311],
[1648, 1636]],
[[ 0, 0],
[ 0, 0]]],
[[[-138, -138],
[ -48, -48]],
[[6085, 6010],
[5077, 5011]],
[[ 0, 0],
[ 0, 0]]]]), array([-126, 36]))
BatchNormalization:
Fprop: [[ 0.2 0.2 0.2 0.2 0.2 0.2 0.2
0.2 0.2 0.2 0.2 0.2 0.2 0.2
0.2 0.2 -0.7 -0.7 -0.7 -0.7
-0.69999963 -0.69999963 -0.69999963 -0.69999963 -0.7 -0.7 -0.7
-0.7 -0.7 -0.7 -0.7 -0.7 0.2 0.2
0.2 0.2 0.2 0.2 0.2 0.2 0.2
0.2 0.2 0.2 0.2 0.2 0.2 0.2 ]
[ 0.2 0.2 0.2 0.2 0.2 0.2 0.2
0.2 0.2 0.2 0.2 0.2 0.2 0.2
0.2 0.2 1.1 1.1 1.1 1.1
1.09999963 1.09999963 1.09999963 1.09999963 1.1 1.1 1.1
1.1 1.1 1.1 1.1 1.1 0.2 0.2
0.2 0.2 0.2 0.2 0.2 0.2 0.2
0.2 0.2 0.2 0.2 0.2 0.2 0.2 ]]
Bprop: [[ -6.83051975e+03 -6.83051975e+03 -6.83051975e+03 -6.83051975e+03
-6.83051975e+03 -6.83051975e+03 -6.83051975e+03 -6.83051975e+03
-6.83051975e+03 -6.83051975e+03 -6.83051975e+03 -6.83051975e+03
-6.83051975e+03 -6.83051975e+03 -6.83051975e+03 -6.83051975e+03
-5.26012975e-09 -5.03790086e-09 -4.82801592e-09 -4.62962964e-09
-5.03789471e-06 -5.03789471e-06 -5.03789471e-06 -5.03789471e-06
-3.78504939e-09 -3.64132903e-09 -3.50479365e-09 -3.37499995e-09
-3.25153687e-09 -3.13402298e-09 -3.02210435e-09 -2.91545187e-09
-6.83051975e+03 -6.83051975e+03 -6.83051975e+03 -6.83051975e+03
-6.83051975e+03 -6.83051975e+03 -6.83051975e+03 -6.83051975e+03
-6.83051975e+03 -6.83051975e+03 -6.83051975e+03 -6.83051975e+03
-6.83051975e+03 -6.83051975e+03 -6.83051975e+03 -6.83051975e+03]
[ 6.83051975e+03 6.83051975e+03 6.83051975e+03 6.83051975e+03
6.83051975e+03 6.83051975e+03 6.83051975e+03 6.83051975e+03
6.83051975e+03 6.83051975e+03 6.83051975e+03 6.83051975e+03
6.83051975e+03 6.83051975e+03 6.83051975e+03 6.83051975e+03
5.26012975e-09 5.03790086e-09 4.82801592e-09 4.62962964e-09
5.03789471e-06 5.03789471e-06 5.03789471e-06 5.03789471e-06
3.78504939e-09 3.64132903e-09 3.50479365e-09 3.37499995e-09
3.25153687e-09 3.13402298e-09 3.02210435e-09 2.91545187e-09
6.83051975e+03 6.83051975e+03 6.83051975e+03 6.83051975e+03
6.83051975e+03 6.83051975e+03 6.83051975e+03 6.83051975e+03
6.83051975e+03 6.83051975e+03 6.83051975e+03 6.83051975e+03
6.83051975e+03 6.83051975e+03 6.83051975e+03 6.83051975e+03]]
Grads_wrt_params: [array([ 0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. ,
47.9999998 , 47.9999998 , 47.99999981, 47.99999981,
47.99998041, 47.99998041, 47.99998041, 47.99998041,
47.99999984, 47.99999984, 47.99999985, 47.99999985,
47.99999985, 47.99999986, 47.99999986, 47.99999986,
0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. ,
0. , 0. , 0. , 0. ]), array([-48, -46, -44, -42, -40, -38, -36, -34, -32, -30, -28, -26, -24,
-22, -20, -18, -16, -14, -12, -10, -8, -6, -4, -2, 0, 2,
4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28,
30, 32, 34, 36, 38, 40, 42, 44, 46])]