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The epoch_loss initialized to 0 and never updated after then, the output of the program is always as follow. The loss is always 0.
Epoch 0 completed out of 10 loss: 0
Epoch 1 completed out of 10 loss: 0
Epoch 2 completed out of 10 loss: 0
Epoch 3 completed out of 10 loss: 0
Epoch 4 completed out of 10 loss: 0
Epoch 5 completed out of 10 loss: 0
Epoch 6 completed out of 10 loss: 0
Epoch 7 completed out of 10 loss: 0
Epoch 8 completed out of 10 loss: 0
Epoch 9 completed out of 10 loss: 0
The
epoch_loss
initialized to 0 and never updated after then, the output of the program is always as follow. The loss is always 0.Epoch 0 completed out of 10 loss: 0
Epoch 1 completed out of 10 loss: 0
Epoch 2 completed out of 10 loss: 0
Epoch 3 completed out of 10 loss: 0
Epoch 4 completed out of 10 loss: 0
Epoch 5 completed out of 10 loss: 0
Epoch 6 completed out of 10 loss: 0
Epoch 7 completed out of 10 loss: 0
Epoch 8 completed out of 10 loss: 0
Epoch 9 completed out of 10 loss: 0
https://github.com/abhay97ps/Anomaly-Detection-in-Surveillance-Videos/blob/4be07aba4a8dda7cea882f33782595622d248d3e/Anomaly_NN.py#L58-L79
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