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Deep learning for coders with fastai and PyTorch : AI applications without a PhD / Jeremy Howard and Sylvain Gugger.
By: Howard, Jeremy.
Contributor(s): Gugger, Sylvain [ author.].
Material type:
TextPublisher: New Delhi; Shroff Publishers & Distributors, 2020Edition: Second Edition.Description: xxii, 594 pages : illustrations, 1 map ; 24 cm.ISBN: 9789385889134.Subject(s): Machine learning | Python (Computer program language)DDC classification: 006.31 HOW
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UAP Central Library General Stacks | 006.31 HOW (Browse shelf) | 1 | Available | 3010021996 | |
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UAP Central Library General Stacks | 006.31 HOW (Browse shelf) | 2 | Available | 3010021997 | |
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UAP Central Library General Stacks | 006.31 HOW (Browse shelf) | 3 | Available | 3010021998 | |
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UAP Central Library General Stacks | 006.31 HOW (Browse shelf) | 4 | Available | 3010021999 | |
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UAP Central Library General Stacks | 006.31 HOW (Browse shelf) | 5 | Checked out | 09/10/2024 | 3010022000 |
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| 006.31 GER Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow : | 006.31 GOO Deep learning / | 006.31 GOO Deep learning / | 006.31 HOW Deep learning for coders with fastai and PyTorch : | 006.31 HOW Deep learning for coders with fastai and PyTorch : | 006.31 HOW Deep learning for coders with fastai and PyTorch : | 006.31 HOW Deep learning for coders with fastai and PyTorch : |
Includes index.
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