Listen free for 30 days

Listen with a free trial

One credit a month, good for any title to download and keep.
Unlimited listening to the Plus Catalogue - thousands of select Audible Originals, podcasts and audiobooks.
Exclusive member-only deals.
No commitment - cancel anytime.
Buy Now for £22.89

Buy Now for £22.89

Pay using card ending in
By completing your purchase, you agree to Audible's Conditions of Use and authorise Audible to charge your designated card or any other card on file. Please see our Privacy Notice, Cookies Notice and Interest-based Ads Notice.

Summary

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.

Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.

  • Train models in computer vision, natural language processing, tabular data, and collaborative filtering
  • Learn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models work
  • Discover how to turn your models into web applications
  • Implement deep learning algorithms from scratch
  • Consider the ethical implications of your work
  • Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
©2020 Jeremy Howard (P)2021 Brenda H. Ashley

What listeners say about Deep Learning for Coders with Fastai and PyTorch

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.