Deep Learning with Python Second Edition
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Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original.
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產品詳情
- Printed in full color!
- Learn deep learning from first principles
- Cover topics like image classification, image segmentation, timeseries forecasting, and text classification
- Includes practical techniques for real-world applications
- Written by François Chollet, the creator of the Keras library
- Includes a comprehensive table of contents with 14 chapters
| Publisher | Manning Publications |
| Publication date | 21 Dec. 2021 |
| Edition | 1st |
| Language | English |
| Print length | 400 pages |
| ISBN-10 | 1617296864 |
| ISBN-13 | 978-1617296864 |
| Dimensions | 18.73 x 3.3 x 23.5 cm |
Who Should Buy?
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Beginners in AI
Those new to deep learning will find clear explanations and practical examples to start their journey effectively.
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Data Scientists
Professionals looking to deepen their understanding of neural networks can benefit from advanced concepts and hands-on projects.
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Python Programmers
Programmers familiar with Python seeking to implement deep learning models can utilize the code snippets and reference materials.
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Total Newcomers
Individuals without any programming or machine learning background may struggle with some advanced concepts presented.
產品敘述
Deep Learning with Python Second Edition
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English edition François Chollet Format: Editorial Review
Deep Learning With Python Second Edition is a comprehensive guide published by Manning Publications, focusing on deep learning techniques using the Python programming language. This 400-page edition, released on December 21, 2021, is packed with valuable insights and practical examples, making it an essential resource for both beginners and seasoned developers. Readers appreciate its clear explanations and hands-on approach to complex machine learning concepts, which enhances understanding and retention. The book covers a wide range of topics, ensuring that it caters to various skill levels while providing foundational knowledge necessary for advancing in the field of artificial intelligence.
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優點
- In-depth coverage of deep learning concepts
- Clear explanations for complex topics
- Practical examples enhance learning
- Suitable for both beginners and advanced users
- Well-structured 400-page guide
缺點
- Initial chapters may assume some prior knowledge
Product Price History
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特色和優勢
- Revised edition of the bestselling 'Deep Learning with Python'.
- Learn from François Chollet, the creator of Keras.
- Practical techniques for real-world application.
- Complete coverage of deep learning concepts from first principles.
- Includes a free eBook with the purchase of the print book.
- Full-color printing enhances understanding with clear examples and illustrations.
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