![]() This PR is based on the [discussion in the forum](https://discourse.julialang.org/t/not-clear-what-0-01f0x-is-in-the-flux-docs/40553?u=mathematics) on the ambiguity of `0.01f0x` in the line > While one could change the activation function (e.g. to use `0.01f0x`) |
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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.