The 9 Deep Learning Papers You Need To Know About

IntroductionLink to Part 1Link 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.                  The one that started it all (Though some may say that Yann LeCun’s paper in 1998 was the real pioneering publication). This paper, titled “ImageNet Classification with Deep Convolutional Networks”, has been cited a total of 6,184 times and is widely regarded…


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