Deep Learning, Regularization Techniques, Python Programming, Data Science, Technology.
torch.optim.Adam(mlp.parameters(), lr=1e-4) # Run the training loop for epoch in range(0, 5): # 5 epochs at maximum # Print epoch print(f'Starting epoch {epoch+1}') # Iterate over the DataLoader for training data for i, data in enumerate(trainloader, 0): # Get inputs inputs, targets = data # Zero