Why Do Capsule Networks Work Better Than Convolutional Neural Networks?

The article here presents some of the key details and characteristics of a Capsule Network, and how it improves upon the standard industry benchmark networks, mainly Convolution Neural Networks by overcoming its limitations and introducing new techniques. This article aims to provide an intuitive understanding of Capsule Networks and is not a coding tutorial. Neural networks have come a long way in recognizing images. From a basic neural network to state-of-the-art networks like InceptionNet, ResNets and GoogLeNets, the field of Deep Learning has been evolving to improve the accuracy of its algorithms. The algorithms are consuming more and more data, layers are getting deeper and deeper, and with the rise in computational power more complex networks are being introduced.