Normalization is required about edgenet HOT 1 CLOSED

[1,     1] loss: 0.505
[2,     1] loss: 0.435
[3,     1] loss: 0.418
[4,     1] loss: 0.315
[5,     1] loss: 0.282
[6,     1] loss: 0.325
[7,     1] loss: 0.251
[8,     1] loss: 0.254
[9,     1] loss: 0.172
[10,     1] loss: 0.198
[11,     1] loss: 0.150
[12,     1] loss: 0.151
[13,     1] loss: 0.129
[14,     1] loss: 0.088
[15,     1] loss: 0.118
[16,     1] loss: 0.089
[17,     1] loss: 0.092
[18,     1] loss: 0.079
[19,     1] loss: 0.087
[20,     1] loss: 0.065
Finished Training
loss: 0.104

[1,     1] loss: 1.942
[2,     1] loss: 1.694
[3,     1] loss: 1.552
[4,     1] loss: 1.482
[5,     1] loss: 1.490
[6,     1] loss: 1.457
[7,     1] loss: 1.404
[8,     1] loss: 1.344
[9,     1] loss: 1.263
[10,     1] loss: 1.101
[11,     1] loss: 1.143
[12,     1] loss: 1.136
[13,     1] loss: 1.071
[14,     1] loss: 0.975
[15,     1] loss: 0.925
[16,     1] loss: 0.894
[17,     1] loss: 0.791
[18,     1] loss: 0.759
[19,     1] loss: 0.741
[20,     1] loss: 0.670
Finished Training
loss: 0.520

normalize = transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))