Deep Learning (English, Christopher M. Bishop)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783031454677 |
| ISBN-10 | 3031454677 |
| Author | Christopher M. Bishop |
Product Description
Here on GlowMirror, you'll find Deep Learning filed under AI & Machine Learning -- everything you need to know is covered below.
About the Book
From the Back Cover This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution,…
ISBN: 9783031454677
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Deep Learning
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in AI & Machine Learning
Who Should Read This
Beginners and newcomers to the subject, as well as curious general readers.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
5.0 out of 5 stars
Deep Learning: Foundations and Concepts is the best book to learn fundamentals of Neural Networks and Deep Learning. I have tried reading several other new books, but this is the best of them all, especially if you want to learn about Transformers.The Transformers chapter in this books goes step by step, builds concepts one by one, and completely demystifies how the Large Language Model technology works. If you want to really learn how LLMs work, and understand each important bit of the entire s
5.0 out of 5 stars
Whhoowww hooo!! I was eagerly waiting to read this book. Thank you amazon.
5.0 out of 5 stars
It covers required mathematical details for deep learning.
5.0 out of 5 stars
This is one of the top 5 books for students to have. For me, this a direct continuation to the legendary goodfellow's 2016 book and a proper introduction for beginners as well (before chapter 10). The approach to explaining generative models that this book has taken is quite intuitive and has made learning quite easy.
5.0 out of 5 stars
The book met the expectation and contained all the topics I was looking for. The binding of the book is really good and is better than the product available on Flipkart
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