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dl_digest.html
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<!-- saved from url=(0033)http://www.convnet.me/papers.html -->
<html xmlns="http://www.w3.org/1999/xhtml"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Deep Learning Digest</title>
</head>
<body leftmargin="150" marginwidth="150">
<h2 align="center">Deep Learning Digest</h2>
<hr>
<li><strong>Papers</strong></li>
<li> <a target="_blank" href=""></a></li>
<li> </li>
<br/>
<li><strong>Blogs</strong></li>
<li> Backpropagation:
<br/><a target="_blank" href="http://galaxy.agh.edu.pl/~vlsi/AI/backp_t_en/backprop.html">Principles of training multi-layer neural network using backpropagation</a>
<br/><a target="_blank" href="http://www.offconvex.org/2016/12/20/backprop/">Back-propagation, an introduction</a>
<br/><a target="_blank" href="http://colah.github.io/posts/2015-08-Backprop/">Calculus on Computational Graphs: Backpropagation</a>
<a target="_blank" href="https://theclevermachine.wordpress.com/tag/backpropagation/">A Gentle Introduction to Artificial Neural Networks</a>
</li>
<li> </li>
</body></html>