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Thanks for the great project. I was wondering why you set the last layer to 5 in the fully connected network? Is there any reason to do that? I couldn't find explanation in the article also. self.fc1 = nn.Sequential( nn.Linear(8*100*100, 500), nn.ReLU(inplace=True), nn.Linear(500, 500), nn.ReLU(inplace=True), nn.Linear(500, 5))
The text was updated successfully, but these errors were encountered:
pmtang
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Why the last layer has 5 neuron?
Why the last layer in fully connected layer is 5?
Nov 22, 2021
Thanks for the great project. I was wondering why you set the last layer to 5 in the fully connected network? Is there any reason to do that? I couldn't find explanation in the article also.
self.fc1 = nn.Sequential( nn.Linear(8*100*100, 500), nn.ReLU(inplace=True), nn.Linear(500, 500), nn.ReLU(inplace=True), nn.Linear(500, 5))
The text was updated successfully, but these errors were encountered: