Deep learning for coders with fastai and PyTorch:
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 w...
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| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Sebastopol, CA
O'Reilly Media, Inc.
[2020]
|
| Edition: | 1st edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781492045519/?ar |
| 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. |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781492045472 1492045470 |
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| spelling | Howard, Jeremy VerfasserIn aut Deep learning for coders with fastai and PyTorch Jeremy Howard and Sylvain Gugger 1st edition. Sebastopol, CA O'Reilly Media, Inc. [2020] 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Machine learning Apprentissage automatique Gugger, Sylvain VerfasserIn aut Safari, an O'Reilly Media Company. MitwirkendeR ctb |
| spellingShingle | Howard, Jeremy Gugger, Sylvain Deep learning for coders with fastai and PyTorch Machine learning Apprentissage automatique |
| title | Deep learning for coders with fastai and PyTorch |
| title_auth | Deep learning for coders with fastai and PyTorch |
| title_exact_search | Deep learning for coders with fastai and PyTorch |
| title_full | Deep learning for coders with fastai and PyTorch Jeremy Howard and Sylvain Gugger |
| title_fullStr | Deep learning for coders with fastai and PyTorch Jeremy Howard and Sylvain Gugger |
| title_full_unstemmed | Deep learning for coders with fastai and PyTorch Jeremy Howard and Sylvain Gugger |
| title_short | Deep learning for coders with fastai and PyTorch |
| title_sort | deep learning for coders with fastai and pytorch |
| topic | Machine learning Apprentissage automatique |
| topic_facet | Machine learning Apprentissage automatique |
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