requires_grad
)backward()
).grad
)torch.nn
torch.nn.Module
Base Classtorch.nn
losses)torch.optim
)torch.utils.data.Dataset
torchvision.transforms
)torch.utils.data.DataLoader
Was this section helpful?
torch.nn.Sequential
container, detailing its functionality and methods for building linear neural networks.torch.nn.Module
, explaining how to construct custom neural network layers and models in PyTorch, serving as the foundation for nn.Sequential
.nn.Module
and nn.Sequential
, illustrating their practical application.