Convolutional Neural Nets in Pytorch - Algorithmia Blog

Many of the exciting applications in Machine Learning have to do with images, which means they're likely built using Convolutional Neural Networks (or CNNs). This type of algorithm has been shown to achieve impressive results in many computer vision tasks and is a must-have part of any developer's or data scientist's modern toolkit. This tutorial will walk through the basics of the architecture of a Convolutional Neural Network (CNN), explain why it works as well as it does, and step through the necessary code piece by piece. You should finish this with a good starting point for developing your own more complex architecture and applying CNNs to problems that intrigue you. Thanks is due to ParisTech for the most of the code, and Ujjwal Karn for the intuitive explanation of CNNs. CNNs are a subset of the field of computer vision, which is all about applying computational techniques to visual content.