build based on a819480

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autodocs 2017-02-24 15:59:13 +00:00
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commit 2f8b0f8ab9
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@ -140,7 +140,7 @@ Backends
</a> </a>
</li> </li>
</ul> </ul>
<a class="edit-page" href="https://github.com/MikeInnes/Flux.jl/tree/c33f695c51fa5df5cb4732ea37c7bfc9d20605da/docs/src/apis/backends.md"> <a class="edit-page" href="https://github.com/MikeInnes/Flux.jl/tree/a8194806507dd83c0c149e80318ceff626acc706/docs/src/apis/backends.md">
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@ -145,7 +145,7 @@ Batching
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@ -126,7 +126,7 @@ Contributing &amp; Help
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@ -129,7 +129,7 @@ Logistic Regression
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<a class="edit-page" href="https://github.com/MikeInnes/Flux.jl/tree/c33f695c51fa5df5cb4732ea37c7bfc9d20605da/docs/src/examples/logreg.md"> <a class="edit-page" href="https://github.com/MikeInnes/Flux.jl/tree/a8194806507dd83c0c149e80318ceff626acc706/docs/src/examples/logreg.md">
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@ -137,7 +137,7 @@ Home
</a> </a>
</li> </li>
</ul> </ul>
<a class="edit-page" href="https://github.com/MikeInnes/Flux.jl/tree/c33f695c51fa5df5cb4732ea37c7bfc9d20605da/docs/src/index.md"> <a class="edit-page" href="https://github.com/MikeInnes/Flux.jl/tree/a8194806507dd83c0c149e80318ceff626acc706/docs/src/index.md">
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@ -167,7 +167,7 @@ Where do I start?
</h2> </h2>
<p> <p>
The The
<a href="@ref Logistic Regression"> <a href="examples/logreg.html">
examples examples
</a> </a>
are the best way to get a feel for how Flux looks. This a great way to start if you&#39;re a relative newbie to machine learning or neural networks; you should be able to get the examples running fairly easily. are the best way to get a feel for how Flux looks. This a great way to start if you&#39;re a relative newbie to machine learning or neural networks; you should be able to get the examples running fairly easily.
@ -178,22 +178,22 @@ If you have more experience with ML, or you just don&#39;t want to see
those digits those digits
</em> </em>
again, check out the again, check out the
<a href="@ref Model Building Basics"> <a href="models/basics.html">
model building guide model building guide
</a> </a>
instead. The Guide attempts to motivate Flux&#39;s programming model and approach with examples. However, it also gets into advanced usage very quickly, so it&#39;s not necessary to memorise all the details to use Flux effectively. instead. The Guide attempts to motivate Flux&#39;s programming model and approach with examples. However, it also gets into advanced usage very quickly; it&#39;s not necessary to memorise all the details to use Flux effectively.
</p> </p>
<p> <p>
The sections on The sections on
<a href="@ref"> <a href="models/recurrent.html">
Recurrence Recurrence
</a> </a>
, ,
<a href="@ref"> <a href="models/debugging.html">
Debugging Debugging
</a> </a>
and and
<a href="apis/batching.html#Batching-1"> <a href="apis/batching.html">
Batching Batching
</a> </a>
best illustrate what makes Flux unique. best illustrate what makes Flux unique.

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@ -126,7 +126,7 @@ Internals
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@ -145,7 +145,7 @@ Model Building Basics
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@ -129,7 +129,7 @@ Debugging
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@ -129,7 +129,7 @@ Recurrence
</a> </a>
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@ -145,7 +145,7 @@ Model Templates
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@ -21,7 +21,7 @@ var documenterSearchIndex = {"docs": [
"page": "Home", "page": "Home",
"title": "Where do I start?", "title": "Where do I start?",
"category": "section", "category": "section",
"text": "The examples 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.If you have more experience with ML, or you just don't want to see those digits again, check out the model building guide instead. The Guide attempts to motivate Flux's programming model and approach with examples. However, it also gets into advanced usage very quickly, so it's not necessary to memorise all the details to use Flux effectively.The sections on Recurrence, Debugging and Batching best illustrate what makes Flux unique." "text": "The examples 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.If you have more experience with ML, or you just don't want to see those digits again, check out the model building guide instead. The Guide attempts to motivate Flux's programming model and approach with examples. However, it also gets into advanced usage very quickly; it's not necessary to memorise all the details to use Flux effectively.The sections on Recurrence, Debugging and Batching best illustrate what makes Flux unique."
}, },
{ {