Skip to Main Content
Grokking Deep Learning
book

Grokking Deep Learning

by Andrew W. Trask
February 2019
Intermediate to advanced content levelIntermediate to advanced
336 pages
9h 29m
English
Manning Publications
Content preview from Grokking Deep Learning

Chapter 13. Introducing automatic optimization: let’s build a deep learning framework

In this chapter

  • What is a deep learning framework?
  • Introduction to tensors
  • Introduction to autograd
  • How does addition backpropagation work?
  • How to learn a framework
  • Nonlinearity layers
  • The embedding layer
  • The cross-entropy layer
  • The recurrent layer

“Whether we are based on carbon or on silicon makes no fundamental difference; we should each be treated with appropriate respect.”

Arthur C. Clarke, 2010: Odyssey Two (1982)

What is a deep learning framework?

Good tools reduce errors, speed development, and increase runtime performance

If you’ve been reading about deep learning for long, you’ve probably come across one of the major frameworks such as PyTorch, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Generative Deep Learning

Generative Deep Learning

David Foster
Deep Learning with PyTorch

Deep Learning with PyTorch

Eli Stevens, Thomas Viehmann, Luca Pietro Giovanni Antiga

Publisher Resources

ISBN: 9781617293702Supplemental ContentPublisher SupportOtherPublisher WebsiteSupplemental ContentPurchase Link