48d6f2d0c0
`Flux.OneHotVector` is displayed as a binary vector (0/1) rather than a boolean (true/false) one, as is also shown in successive examples in the same page, so I fixed the `onehot(:b, [:a, :b, :c])` and `onehot(:c, [:a, :b, :c])` output as given by the current Julia version 1.4.2. |
||
|---|---|---|
| .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.