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106458594
Understanding Deep Learning Hardcover – December 5, 2023
88% of respondents would recommend this to a friend
Item #:
106458594
NAD 2719
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Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts.
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What Stands Out
Comprehensive Coverage
This book offers an in-depth exploration of deep learning concepts, making complex topics accessible to all readers, from beginners to experts, ensuring a thorough understanding for diverse audiences.
Practical Examples
With real-world applications and case studies, readers can see how deep learning is applied in various fields, enhancing practical understanding and enabling readers to implement techniques effectively.
Expert Insights
Authored by industry experts, this book provides valuable insights and up-to-date knowledge on deep learning advancements, making it an essential resource for both students and professionals seeking to stay ahead.
Product Details
| Publisher | The MIT Press (December 5, 2023) |
| Publication date | December 5, 2023 |
| Language | English |
| Hardcover | 544 pages |
| ISBN-10 | 0262048647 |
| ISBN-13 | 978-0262048644 |
| Dimensions | 8.5 x 1.5 x 9.31 inches (21.6 x 3.8 x 23.6 cm) |
| Country of Origin | This item will be imported from JP |
| Date First Available | January 03, 2025 |
| What is in the box | Understanding Deep Learning Hardcover... For more details, please check description/product details |
Who Should Buy?
-
Aspiring Data Scientists
This book provides foundational knowledge essential for entering the field of data science and machine learning.
-
Academic Researchers
Researchers looking to deepen their expertise in deep learning concepts will find this resource invaluable for their work.
-
AI Enthusiasts
Individuals passionate about AI technologies will appreciate the insights and practical applications explained in the book.
-
Beginner Programmers
Those without programming experience may struggle to grasp the technical aspects covered in the book.
Product Description
Understanding Deep Learning Hardcover – December 5, 2023
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English Edition Simon J.D. Prince Editorial Review
**** "Understanding Deep Learning," published by MIT Press, has garnered significant attention for its thorough and accessible approach to a complex field. Praised for its well-crafted physical format, the book provides an engaging experience for readers. It stands out in its category, being heralded as perhaps the best resource on deep learning currently available. The author masterfully navigates the intricate landscape of deep learning theories and applications, presenting modern advancements in a way that is digestible for novices while still providing valuable insights for seasoned researchers. The clarity with which the material is presented is particularly commendable, allowing readers to grasp challenging concepts without feeling overwhelmed. Those new to deep learning will appreciate its gentle introduction to the subject, while experienced individuals will find fresh perspectives and updates on recent developments. Overall, this book is highly recommended not only as a textbook for academic settings but also as a self-study guide for anyone interested in the evolving world of deep learning. **
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Pros
- Clear and concise writing style, making complex topics accessible.
- Updated content covering modern advancements in deep learning.
- Suitable for both novices and experienced researchers.
- Engaging and informative presentation of dense material.
- Well-designed physical copy that enhances the reading experience.
Cons
- Some readers may find other specialized books equally outstanding.
Product Price History
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Features & Benefits
- Up-to-date treatment of deep learning covering cutting-edge topics
- Short, focused chapters progressing in complexity
- Pragmatic approach straddling theory and practice
- Streamlined presentation separating critical ideas from extraneous detail
- Minimal mathematical prerequisites, extensive illustrations, and practice problems
- Programming exercises offered in accompanying Python Notebooks
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