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rebuilding site Wed Apr 19 09:31:16 EDT 2017
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404.html

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<h2>Recent Posts</h2>
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<ul>
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<li><a href="http://gopherdata.io/post/deeplearning_in_go_part_1">Deep Learning from Scratch in Go - Part 1: Equations Are Graphs</a></li>
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<li><a href="http://gopherdata.io/post/introduction_to_gopherdata">Welcome to GopherData</a></li>
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index.html

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<div class="article-list-item" itemscope itemprop="blogPost">
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<h3 class="article-title" itemprop="name">
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<a href="http://gopherdata.io/post/deeplearning_in_go_part_1" itemprop="url">Deep Learning from Scratch in Go - Part 1: Equations Are Graphs</a>
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</h3>
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<div class="article-metadata">
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<span class="article-date">
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<time datetime="2017-04-19 08:43:45 &#43;1000 &#43;1000" itemprop="datePublished">
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Wed, Apr 19, 2017
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(Author: Chewxy, @chewxy on Twitter and Gophers Slack)
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Welcome to the first part of many about writing deep learning algorithms in Go. The goal of this series is to go from having no knowledge at all to implementing some of the latest developments in this area.
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Deep learning is not new. In fact the idea of deep learning was spawned in the early 1980s. What&rsquo;s changed since then is our computers - they have gotten much much more powerful.
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<p class="read-more">
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<a href="http://gopherdata.io/post/deeplearning_in_go_part_1" class="btn btn-primary btn-outline">
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CONTINUE READING
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