af23a5756c
1053: Added Some Loss functions with some doc improvements r=CarloLucibello a=AdarshKumar712 Added the following loss functions with tests: 1. mae 2. mean squared logarithmic error 3. huber loss 4. squared hinge loss 5. dice coeff loss 6. tversky loss Also added some documentation improvements for few other functions. Co-authored-by: Adarsh Kumar <45385384+AdarshKumar712@users.noreply.github.com> |
||
|---|---|---|
| .github | ||
| docs | ||
| paper | ||
| src | ||
| test | ||
| .gitattributes | ||
| .gitignore | ||
| .gitlab-ci.yml | ||
| .travis.yml | ||
| CITATION.bib | ||
| LICENSE.md | ||
| Manifest.toml | ||
| NEWS.md | ||
| Project.toml | ||
| README.md | ||
| bors.toml | ||
README.md
Flux is an elegant approach to machine learning. It's a 100% pure-Julia stack, and provides lightweight abstractions on top of Julia's native GPU and AD support. Flux makes the easy things easy while remaining fully hackable.
] add Flux
See the documentation or the model zoo for examples.
If you use Flux in your research, please cite our work.