This tutorial introduces deep learning techniques such as convolutional neural networks and variational auto encoders from a materials standpoint. Using a solubility dataset, you will learn how to pre-process data and train a convolutional neural network to predict the solubility of polymers. You will also explore variational autoencoders in the context of the solubility dataset. Instructors: Dr Vinay Hegde (Citrine), Prof Alejandro Strachan (Purdue)
