Deep Learning, Regularization Techniques, Python Programming, Data Science, Technology.
nn.Linear(64, 32), nn.ReLU(), nn.Linear(32, 10) ) def forward(self, x): '''Forward pass''' return self.layers(x) def compute_l1_loss(self, w): return torch.abs(w).sum() if __name__ == '__main__': # Set fixed random number seed torch.manual_seed(42) # Prepare CIFAR-10 dataset dataset =