Deep Learning with PyTorch Quick Start Guide

Getting the Most out of PyTorch

By now, you should be able to build and train three different types of model: linear, convolutional, and recurrent. You should have an appreciation of the theory and mathematics behind these model architectures and explain how they make predictions. Convolutional networks are probably the most studied deep learning network, especially in relation to image data. Of course, both convolutional and recurrent networks make extensive use of linear layers, so the theory behind linear networks, most notably linear regression and gradient descent, is fundamental to all artificial neural networks.

Our discussion so far has been fairly contained. We have looked at a well-studied problem, such as classification using MNIST, ...