diff --git a/_posts/2016-08-24-The-9-Deep-Learning-Papers-You-Need-To-Know-About-(Understanding-CNNs-Part-3).html b/_posts/2016-08-24-The-9-Deep-Learning-Papers-You-Need-To-Know-About-(Understanding-CNNs-Part-3).html index 1056116c86200..1e0fc4223bbcd 100644 --- a/_posts/2016-08-24-The-9-Deep-Learning-Papers-You-Need-To-Know-About-(Understanding-CNNs-Part-3).html +++ b/_posts/2016-08-24-The-9-Deep-Learning-Papers-You-Need-To-Know-About-(Understanding-CNNs-Part-3).html @@ -7,7 +7,6 @@ --- -Top KDnuggets Blogger for September 2016

Introduction

Link to Part 1
Link to Part 2

                In this post, we’ll go into summarizing a lot of the new and important developments in the field of computer vision and convolutional neural networks. We’ll look at some of the most important papers that have been published over the last 5 years and discuss why they’re so important.  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.