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- Deep Learning with Python, Second Edition
Deep Learning with Python, Second Edition
89% of respondents would recommend this to a friend
ANG 144
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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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What Stands Out
Product Details
- 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
| Package Weight | 3 Pound |
Who Should Buy?
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Aspiring Data Scientists
Ideal for beginners seeking a hands-on approach to understanding deep learning concepts using Python and Keras.
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Machine Learning Practitioners
Experienced users can deepen their knowledge of advanced deep learning techniques while leveraging practical examples and exercises.
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Academic Students
Perfect for university courses that cover machine learning and artificial intelligence, providing both theory and practical coding exercises.
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Complete Beginners
Not suitable for those with no programming or basic machine learning knowledge, as it assumes foundational skills.
Product Description
Deep Learning with Python, Second Edition
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Neural Networks Editorial Review
The "Deep Learning with Python" book by Francois Chollet is a great book for anyone interested in Machine Learning. The author's clear and concise presentation of the concepts makes it easy to understand and follow. The use of code examples further reinforces the readers' understanding. The book starts from basics and progresses to more sophisticated concepts. The author provided abundant illustrations and shaded boxes to explain any concepts that may require additional attention. This book is easy to read and one of the best Machine Learning books available in the market. However, some customers find the printing quality inadequate, with low ink and blurry prints. Additionally, some readers did not find the TensorFlow usage appealing, while some others pointed out that the book is outdated.
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Pros
- The book has a clear, concise presentation of concepts suitable for a layperson.
- It comes with abundant illustrations and shaded boxes to reinforce understanding.
- It is easy to read and understand.
Cons
- The printing quality is inadequate, with low ink, blurry prints, and uncut pages.
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ANG 144
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Features & Benefits
- 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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