Pre-train notebook sets requires_grad = True for ReLU rather than the Linear layer. #3
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AliceSum
changed the title
AliceSum
changed the title
…of classifier lay, instead of the relu. Signed-off-by: Jonathan Sum <[email protected]>
…available() else 'cpu')" I used cuda 0 because I only have one gpu. Signed-off-by: Jonathan Sum <[email protected]>
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It should be Model.classifier[0].requires_grad = True because the layer at index 0 is the linear layer. Index 1 is the ReLU layer which does not have trainable parameters.
I have retrained the small VGG notebook with Model.classifier[0].requires_grad = True. The end result is kind of the same. That is test accuracy is 78%, but the training accuracy is slightly higher than the original notebook.
