7. Examples and Applications
The final section shows how the pieces of TorchLean are used together. The model zoo exercises the public API and runtime on familiar architectures. The generative and reinforcement-learning chapters show examples whose objectives, trajectories, and artifacts need more than a single supervised training loop. Widgets provide inspection panels for tensors, graphs, tapes, bounds, logs, and float values. BugZoo turns common ML failure modes into small checked contracts. The command-line chapter gives the public workflows for running examples, building the website, and invoking verification tools.
Read this section as the operational close of the guide: write a model, run it, inspect the artifact it produced, lower or export it when needed, and state exactly which checker or theorem supports the claim being made.