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Update 2016-08-24-The-9-Deep-Learning-Papers-You-Need-To-Know-About-&b…
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adeshpande3 authored Nov 19, 2018
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<link href="https://afeld.github.io/emoji-css/emoji.css" rel="stylesheet">
<img src="/assets/Cover3rd.png">
<a href="http://www.kdnuggets.com/2016/09/top-news-week-0918-0924.html"><img src="http://www.kdnuggets.com/images/top-kdnuggets-blogger-2016-sep-gold.jpg" width="147" height=147 alt="Top KDnuggets Blogger for September 2016"></a>
<h2><strong>Introduction</strong></h2>
<p><a href="http://bit.ly/29U99Ty" target="_blank">Link to Part 1</a><br /> <a href="http://bit.ly/2aARG7f" target="_blank">Link to Part 2</a></p>
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; In this post, we&rsquo;ll go into summarizing a lot of the new and important developments in the field of computer vision and convolutional neural networks. We&rsquo;ll look at some of the most important papers that have been published over the last 5 years and discuss why they&rsquo;re so important.&nbsp; The first half of the list (AlexNet to ResNet) deals with advancements in general network architecture, while the second half is just a collection of interesting papers in other subareas.&nbsp;</p>
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