Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD


Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
By 作者:Jeremy Howard and Sylvain Gugger
Paperback : 624 pages
ISBN-10 : 1492045527
ISBN-13 : 9781492045526
Publisher Finelybook 出版社 : O'Reilly Media, Inc. (21 Aug. 2020)
Product Dimensions : 17.53 x 2.79 x 23.11 cm
Language 语言: : English
The Book Description robot was collected from Amazon and arranged by Finelybook
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 practice
Improve accuracy, speed, and reliability By 作者: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 作者:PyTorch cofounder, Soumith Chintala

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