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Deep Learning for Coders with fastai and PyTorch : AI applications without a PhD / Howard, Jeremy.

Contributor(s): Material type: TextTextPublisher: O'Reilly Media, Inc., ©2020Edition: 1st editionDescription: 582 pages il. ; 24 cmISBN:
  • 9781492045526
  • 9781492045519
  • 9789385889202
Subject(s): DDC classification:
  • 23 006.31 DEE
Online resources: Summary: Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you'll learn how to train a model to accomplish a wide range of tasks-including computer vision, natural language processing, tabular data, and generative networks. At the same time, you'll dig progressively into deep learning theory so that by the end of the book you'll have a complete understanding of the math behind the library's functions.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Central Library, SUST General Stacks 006.31 DEE (Browse shelf(Opens below)) 1 Available 0076433
Books Books Central Library, SUST General Stacks 006.31 DEE (Browse shelf(Opens below)) 2 Available 0076419

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Deep learning has the reputation as an exclusive domain for math PhDs. Not so. With this book, programmers comfortable with Python will learn how to get started with deep learning right away. Using PyTorch and the fastai deep learning library, you'll learn how to train a model to accomplish a wide range of tasks-including computer vision, natural language processing, tabular data, and generative networks. At the same time, you'll dig progressively into deep learning theory so that by the end of the book you'll have a complete understanding of the math behind the library's functions.

Copyright © 2020 Sylvain Gugger and Jeremy Howard

Description based on online resource; title from title page (viewed July 22, 2020)

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