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])]