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Deep Learning for Coders with fastai and PyTorch : AI Applications Without a PhD - SYLVAIN GUGGER - JEREMY HOWARD

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

SYLVAIN GUGGER
JEREMY HOWARD

 
$79.99

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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 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.


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Price: $79.99
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Author:  SYLVAIN GUGGER
JEREMY HOWARD
Title: Deep Learning for Coders with fastai and PyTorch : AI Applications Without a PhD
Release date: 14 July 2020
Editor: O'REILLY MEDIA
Subject: Général
ISBN: 9781492045526 (1492045527)
Renaud-Bray Reference: 17131081
Item nb: 3513101

Deep Learning for Coders with fastai and PyTorch : AI Applications Without a PhD , GUGGER, SYLVAIN*HOWARD, JEREMY
© O'REILLY MEDIA 2020
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