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Deep Learning for Coders with fastai and PyTorch - AI Applications Without a PhD (Paperback) Loot Price: R1,380
Discovery Miles 13 800
You Save: R192 (12%)
Deep Learning for Coders with fastai and PyTorch - AI Applications Without a PhD (Paperback): Sylvain Gugger, Jeremy Howard

Deep Learning for Coders with fastai and PyTorch - AI Applications Without a PhD (Paperback)

Sylvain Gugger, Jeremy Howard

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Was R1,572 Loot Price R1,380 Discovery Miles 13 800 | Repayment Terms: R129 pm x 12* You Save R192 (12%)

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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

General

Imprint: O'Reilly Media
Country of origin: United States
Release date: July 2020
Authors: Sylvain Gugger • Jeremy Howard
Dimensions: 233 x 178 x 50mm (L x W x T)
Format: Paperback
Pages: 350
ISBN-13: 978-1-4920-4552-6
Categories: Books > Computing & IT > General
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LSN: 1-4920-4552-7
Barcode: 9781492045526

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