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Flux.jl
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Mike J Innes 2017-05-02 13:38:37 +01:00
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@ -6,6 +6,8 @@ Flux aims to be an intuitive and powerful notation, close to the mathematics, th
So what's the catch? Flux is at an early "working prototype" stage; many things work but the API is still in a state of... well, it might change. If you're interested to find out what works, read on!
**Note:** If you're using Julia v0.5 please see [this version](http://mikeinnes.github.io/Flux.jl/v0.1.1/) of the docs instead.
## Where do I start?
The [examples](examples/logreg.html) are the best way to get a feel for how Flux looks. This a great way to start if you're a relative newbie to machine learning or neural networks; you should be able to get the examples running fairly easily.
@ -29,3 +31,5 @@ You'll also need a backend to run real training, if you don't have one already.
Pkg.add("MXNet") # or "TensorFlow"
Pkg.test("Flux") # Make sure everything installed properly
```
**Note:** TensorFlow integration may not work properly on Julia v0.6 yet.