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update community page

This commit is contained in:
Mike J Innes 2017-10-18 12:39:58 +01:00
parent 55ba236da6
commit 92f65f91c5
3 changed files with 6 additions and 10 deletions
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2
docs/make.jl
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@ -16,7 +16,7 @@ makedocs(modules=[Flux],
"Training" => "training/training.md"],
"One-Hot Encoding" => "data/onehot.md",
"GPU Support" => "gpu.md",
"Contributing & Help" => "contributing.md"])
"Community" => "community.md"])
deploydocs(
repo = "github.com/FluxML/Flux.jl.git",

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docs/src/community.md Normal file
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@ -0,0 +1,5 @@
# Community
All Flux users are welcome to join our community on the [Julia forum](https://discourse.julialang.org/), the [slack](https://discourse.julialang.org/t/announcing-a-julia-slack/4866) (channel #machine-learning), or Flux's [Gitter](https://gitter.im/FluxML/Lobby). If you have questions or issues we'll try to help you out.
If you're interested in hacking on Flux, the [source code](https://github.com/FluxML/Flux.jl) is open and easy to understand -- it's all just the same Julia code you work with normally. You might be interested in our [intro issues](https://github.com/FluxML/Flux.jl/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22) to get started.

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docs/src/contributing.md
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@ -1,9 +0,0 @@
# Contributing & Help
If you need help, please ask on the [Julia forum](https://discourse.julialang.org/), the [slack](https://discourse.julialang.org/t/announcing-a-julia-slack/4866) (channel #machine-learning), or Flux's [Gitter](https://gitter.im/FluxML/Lobby).
Right now, the best way to help out is to try out the examples and report any issues or missing features as you find them. The second best way is to help us spread the word, perhaps by [starring the repo](https://github.com/MikeInnes/Flux.jl).
If you're interested in hacking on Flux, most of the [code](https://github.com/MikeInnes/Flux.jl/tree/master/src) is pretty straightforward. Adding new [layer definitions](https://github.com/MikeInnes/Flux.jl/tree/master/src/layers) or cost functions is simple using the Flux DSL itself, and things like data utilities and training processes are all plain Julia code.
If you get stuck or need anything, let us know!