# Flux Updates

**URL:** <https://discourse.julialang.org/t/flux-updates/3533>\
**Category:** Machine Learning\
**Created:** [May 5, 2017, 12:02pm UTC](https://discourse.julialang.org/t/flux-updates/3533 "2017-05-05T12:02:58Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![MikeInnes](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mikeinnes/32/3656_2.png) [@MikeInnes](https://discourse.julialang.org/u/MikeInnes)\
**Post date:** [May 5, 2017, 12:02pm UTC](https://discourse.julialang.org/t/flux-updates/3533/1 "2017-05-05T12:02:58Z")

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I’ve just released [Flux’s](https://github.com/MikeInnes/Flux.jl) first major update since its [release](https://discourse.julialang.org/t/flux-machine-learning-with-julia/2382), which brings everything up to speed for 0.6 and nails down APIs for things like RNNs and training.

I’ve also reworked the [docs](http://mikeinnes.github.io/Flux.jl/stable/models/basics.html) based on user feedback, so now may be a good time for another look if things weren’t clear before. Please keep all the feedback and issues coming!

Excitingly, we have a GSoC student, Zhang Shiwei, helping us improve Flux over the summer. We hope to implement optimisers in a generic way that can be reused by other libraries like Knet (among many other things I’m sure).

Enjoy!