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Hi everybody,
I'm testing this example (LeNet5) as shown in this tuto, with some changes it work very well. then I remove the softmax layer, and apply gaussian distribution to the output. For each iteration, I call net:forward(input), calculate the gaussian of all values in output and continue with criterion and backward. After some iterations, output becomes a nan vector.
Can anyone explain this behaviour ?
Thanks in advance
The text was updated successfully, but these errors were encountered:
Hi everybody,
I'm testing this example (LeNet5) as shown in this tuto, with some changes it work very well. then I remove the softmax layer, and apply gaussian distribution to the output. For each iteration, I call net:forward(input), calculate the gaussian of all values in output and continue with criterion and backward. After some iterations, output becomes a nan vector.
Can anyone explain this behaviour ?
Thanks in advance
The text was updated successfully, but these errors were encountered: