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Flux.jl
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Mike J Innes 2017-01-30 23:55:34 +05:30
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docs/src/index.md
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@ -7,3 +7,15 @@ 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. Also, this documentation is pretty incomplete.
If you're interested to find out what *does* work, read on!
## Installation
*... Charging Ion Capacitors ...*
```julia
Pkg.clone("https://github.com/MikeInnes/DataFlow.jl")
Pkg.clone("https://github.com/MikeInnes/Flux.jl")
using Flux
```
You'll also need a backend to run real training, if you don't have one already. Choose from [MXNet](https://github.com/dmlc/MXNet.jl) or [TensorFlow](https://github.com/malmaud/TensorFlow.jl) (MXNet is the recommended option if you're not sure):

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docs/src/models/basics.md
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# First Steps
## Installation
*... Charging Ion Capacitors ...*
```julia
Pkg.clone("https://github.com/MikeInnes/DataFlow.jl")
Pkg.clone("https://github.com/MikeInnes/Flux.jl")
using Flux
```
You'll also need a backend to run real training, if you don't have one already. Choose from [MXNet](https://github.com/dmlc/MXNet.jl) or [TensorFlow](https://github.com/malmaud/TensorFlow.jl) (MXNet is the recommended option if you're not sure):
# Model Building Basics
```
Pkg.add("MXNet") # or "TensorFlow"