Deep Learning, Regularization Techniques, Python Programming, Data Science, Technology.
MNIST(os.getcwd(), download=True, transform=transforms.ToTensor()) trainloader = torch.utils.data.DataLoader(dataset, batch_size=10, shuffle=True, num_workers=1) # Initialize the MLP mlp = MLP() # Define the loss function and optimizer loss_function = nn.CrossEntropyLoss() optimizer =