Pytorch, Torch, Torchvision, Deep Learning, Python.
nn.Linear(100, 10) out = out.view(out.size(0), -1) out = fc1(out) out = dropout1(out) out = fc2(out) return out Model Training To train the model, we will pass the image arrays for our dataset to the model class and compute the loss of the network with the error nn.CrossEntropyLoss() method we have