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tweak intro

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Mike J Innes 2017-09-07 01:29:56 -04:00
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[![Build Status](https://travis-ci.org/FluxML/Flux.jl.svg?branch=master)](https://travis-ci.org/FluxML/Flux.jl) [![](https://img.shields.io/badge/docs-stable-blue.svg)](https://fluxml.github.io/Flux.jl/stable/) [![Join the chat at https://gitter.im/FluxML](https://badges.gitter.im/FluxML/Lobby.svg)](https://gitter.im/FluxML/Lobby) [Slack](https://discourse.julialang.org/t/announcing-a-julia-slack/4866)
Flux is a library for machine learning, implemented in Julia. Flux is high-level yet extremely lightweight, providing only simple abstractions on top of Julia's native GPU support and automatic differentiation.
Flux is an unusually elegant machine learning library. It provides lightweight abstractions on top of Julia's native GPU and AD support, while remaining fully hackable (right down to the [GPU kernels](https://github.com/FluxML/CuArrays.jl)).
Define a simple model using any Julia code: