Transfer learning in PyTorch: freezing layers, stepping frozen strategies, and model file formats.

Quick reference for pandas essentials: DataFrame, Series, read_csv, indexing with loc and iloc.

Guide to PyTorch Dataset and DataLoader: data flow, tensor conversion, samplers, collate_fn, and transforms.

How PyTorch's nn.Module.apply() maps a function across all submodules via postorder traversal.

How to use PyTorch hooks for inspecting and modifying forward/backward passes in nn.Module.

PyTorch project tips: template structure, getattr for dynamic config, and abstract methods.