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Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
book

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

by Jon Krohn, Grant Beyleveld, Aglaé Bassens
September 2019
Intermediate to advanced content levelIntermediate to advanced
416 pages
13h 49m
English
Addison-Wesley Professional
Content preview from Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

C. PyTorch

In this appendix, we’ll introduce the distinguishing elements of PyTorch, including contrasting it with its primary competition—TensorFlow.

PyTorch Features

In Chapter 14, we introduced PyTorch at a high level. In this section, we continue by examining the library’s core attributes.

Autograd System

PyTorch operates using what’s called an autograd system, which relies on the principle of reverse-mode automatic differentiation. As detailed in Chapter 7, the end product of forward propagating through a deep neural network is the result of a series of functions chained together. Reverse-mode automatic differentiation applies the chain rule to differentiate the inputs with respect to the cost at the end, working backwards (introduced ...

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Publisher Resources

ISBN: 9780135116821