From a3be268505d06788fb0e04d1b9ddb9d06de8a9f1 Mon Sep 17 00:00:00 2001 From: autodocs Date: Thu, 7 Sep 2017 07:21:51 +0000 Subject: [PATCH] build based on cbaf661 --- latest/contributing.html | 2 +- latest/index.html | 2 +- latest/models/basics.html | 2 +- latest/models/recurrence.html | 2 +- latest/search_index.js | 6 +++--- 5 files changed, 7 insertions(+), 7 deletions(-) diff --git a/latest/contributing.html b/latest/contributing.html index 79424d25..53b92554 100644 --- a/latest/contributing.html +++ b/latest/contributing.html @@ -6,4 +6,4 @@ m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) ga('create', 'UA-36890222-9', 'auto'); ga('send', 'pageview'); -

Contributing & Help

Contributing

If you need help, please ask on the Julia forum, the slack (channel #machine-learning), or Flux's Gitter.

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.

If you're interested in hacking on Flux, most of the code is pretty straightforward. Adding new layer definitions 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!

+

Contributing & Help

Contributing

If you need help, please ask on the Julia forum, the slack (channel #machine-learning), or Flux's Gitter.

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.

If you're interested in hacking on Flux, most of the code is pretty straightforward. Adding new layer definitions 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!

diff --git a/latest/index.html b/latest/index.html index e2bc6de4..0c5b4c1c 100644 --- a/latest/index.html +++ b/latest/index.html @@ -6,5 +6,5 @@ m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) ga('create', 'UA-36890222-9', 'auto'); ga('send', 'pageview'); -

Home

Flux

Flux is a library for machine learning, implemented in Julia. Flux lets you use the full power of the Julia language while providing a set of useful helper functionality, like common mathematical functions and optimisers.

Installation

Install Julia 0.6.0 or later, if you haven't already.

Pkg.add("Flux")
+

Home

Flux: The Julia Machine Learning Library

Flux is a library for machine learning. Flux comes "batteries-included" with many useful tools built in, but also lets you use the full power of the Julia language where you need it. The whole stack is implemented in clean Julia code (right down to the GPU kernels) and any part can be tweaked to your liking.

Installation

Install Julia 0.6.0 or later, if you haven't already.

Pkg.add("Flux")
 Pkg.test("Flux") # Check things installed correctly

Start with the basics. The model zoo is also a good starting point for many common kinds of models.

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