Vijay Janapa Reddi b93fc84e19 Enhance inline testing for better student experience ...

- Add comprehensive step-by-step inline tests to activations module
- Each activation function now has immediate feedback tests
- Tests check mathematical properties, edge cases, and numerical stability
- Provide clear success/failure messages with actionable guidance
- Create comprehensive testing guidelines document
- Document two-tier testing approach: inline tests for learning, pytest for validation
- All existing tests still pass, enhanced learning experience

2025-07-12 01:16:25 -04:00

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activations

Enhance inline testing for better student experience

2025-07-12 01:16:25 -04:00

autograd

Remove version field from module metadata

2025-07-11 23:23:10 -04:00

cnn

Fix clean command --all flag to be consistent

2025-07-12 01:07:09 -04:00

dataloader

Fix clean command --all flag to be consistent

2025-07-12 01:07:09 -04:00

layers

Fix clean command --all flag to be consistent

2025-07-12 01:07:09 -04:00

networks

Fix clean command --all flag to be consistent

2025-07-12 01:07:09 -04:00

setup

Simplify module.yaml and enhance export command with real export targets

2025-07-12 00:05:45 -04:00

tensor

refactor: standardize module export command with --all flag

2025-07-12 00:36:59 -04:00

transformer

Add difficulty ratings to all module README files

2025-07-11 23:53:43 -04:00

nbdev.yml

Refactor notebook generation to use separate files for better architecture

2025-07-10 21:57:09 -04:00