Deep learning with Python / François Chollet.
Material type:
TextPublisher: Shelter Island : Manning Publications, [2021]Copyright date: ©2021Edition: 2nd edDescription: xxiii, 478 pContent type: - text
- still image
- unmediated
- volume
- 1617296864
- QA76.73.P98 C46 2021
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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Kabarak, Main Campus | QA76.73.P98 C46 2021 c.1 (Browse shelf(Opens below)) | Available | 34066 | ||||||||||||||
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Kabarak, Main Campus | QA76.73.P98 C46 2021 c.2 (Browse shelf(Opens below)) | Available | 34069 | ||||||||||||||
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Kabarak, Main Campus | QA76.73 .P98 C46 2021 c.3 (Browse shelf(Opens below)) | Available | 34071 |
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| QA76.73 .P37H65 Introductory Pascal. | QA76.73.P98 B57 2009 c.1 Natural language processing with Python / | QA76.73.P98 C46 2021 c.1 Deep learning with Python / | QA76.73.P98 C46 2021 c.2 Deep learning with Python / | QA76.73 .P98 C46 2021 c.3 Deep learning with Python / | QA76.73 .P98D63 2009 c.1 Python for software design : | QA76.73.P98 K65 2019 c.1 Classic computer science problems in Python / |
Previous edition: 2018.
Includes index.
Recent innovations in deep learning unlock exciting new software capabilities like automated language translation, image recognition, and more. Deep learning is quickly becoming essential knowledge for every software developer, and modern tools like Keras and TensorFlow put it within your reach-- even if you have no background in mathematics or data science. This book shows you how to get started. "Deep learning with Python, second edition" introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you'll build your understanding through intuitive explanations, crisp illustrations, and clear examples. You'll quickly pick up the skills you need to start developing deep-learning applications.-- Source other than the Library of Congress.
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