Deep Learning for Coders with fastai and PyTorch (Paperback)
 
作者: Sylvain Gugger 
出版社: O'Reilly Media
出版日期: 2020/06/30
尺寸: 233x178x28mm
重量: 662 grams
ISBN-10: 1492045527
ISBN-13: 9781492045526
書城編號: 1650749
 


售價: $728.00

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內容簡介
 

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 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 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

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