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The Best Deep Learning Ian Goodfellow of 2023 – Reviewed and Top Rated
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- Language Published: English
- Binding: hardcover
- It ensures you get the best usage for a longer period
- Hardcover Book
- Goodfellow, Ian (Author)
- Goodfellow, Ian (Author)
- English (Publication Language)
- 804 Pages - 04/22/2023 (Publication Date) - Alanna Maldonado (Publisher)
- Amazon Kindle Edition
- Kelleher, John D. (Author)
- English (Publication Language)
- 295 Pages - 09/10/2019 (Publication Date) - The MIT Press (Publisher)
- Singh, Nick (Author)
- English (Publication Language)
- 301 Pages - 08/16/2021 (Publication Date) - Ace the Data Science Interview (Publisher)
- Hardcover Book
- Wilson, Robb (Author)
- English (Publication Language)
- 288 Pages - 09/27/2022 (Publication Date) - Wiley (Publisher)
- Raschka, Sebastian (Author)
- English (Publication Language)
- 774 Pages - 02/25/2022 (Publication Date) - Packt Publishing (Publisher)
- Hardcover Book
- Sutton, Richard S. (Author)
- English (Publication Language)
- 552 Pages - 11/13/2018 (Publication Date) - Bradford Books (Publisher)
- Audible Audiobook
- Jerry Sinclaire (Author) - Max Newland (Narrator)
- English (Publication Language)
- 05/22/2023 (Publication Date) - Publishing Pros Ltd (Publisher)
- Géron, Aurélien (Author)
- English (Publication Language)
- 856 Pages - 10/15/2019 (Publication Date) - O'Reilly Media (Publisher)
- Amazon Kindle Edition
- Aggarwal, Charu C. (Author)
- English (Publication Language)
- 512 Pages - 08/25/2018 (Publication Date) - Springer (Publisher)
- Hardcover Book
- Murphy, Kevin P. (Author)
- English (Publication Language)
- 864 Pages - 03/01/2022 (Publication Date) - The MIT Press (Publisher)
- Aminian, Ali (Author)
- English (Publication Language)
- 294 Pages - 01/28/2023 (Publication Date) - ByeByteGo (Publisher)
- Amazon Kindle Edition
- Fullan, Michael (Author)
- English (Publication Language)
- 206 Pages - 11/06/2017 (Publication Date) - Corwin (Publisher)
- Language Published: English
- Binding: Hardcover
- Comes in Good condition
- Hardcover Book
- Hastie, Trevor (Author)
- Stevens, Eli (Author)
- English (Publication Language)
- 520 Pages - 08/04/2020 (Publication Date) - Manning (Publisher)
- Hardcover Book
- Bishop, Christopher M. (Author)
- English (Publication Language)
- 738 Pages - 08/17/2006 (Publication Date) - Springer (Publisher)
- Deep Learning: A Visual Approach
- No Starch Press
- ABIS BOOK
- Glassner, Andrew (Author)
- English (Publication Language)
- Kneusel, Ronald T. (Author)
- English (Publication Language)
- 464 Pages - 02/23/2021 (Publication Date) - No Starch Press (Publisher)
- Amazon Kindle Edition
- Kapoor, Amita (Author)
- English (Publication Language)
- 698 Pages - 10/06/2022 (Publication Date) - Packt Publishing (Publisher)
- Audible Audiobook
- Francois Chollet (Author) - Derek Dysart (Narrator)
- English (Publication Language)
- 02/01/2022 (Publication Date) - Manning Publications (Publisher)
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FAQ:
Q: Is the book Deep Learning by Ian Goodfellow new?
A: Written by luminaries in the field – if you’ve read any papers on deep learning, you’ll have encountered Goodfellow and Bengio before – and cutting through much of the BS surrounding the topic: like ‘big data’ before it, ‘deep learning’ is not something new and is not deserving of a special name.
A: An MIT Press book Ian Goodfellow, Yoshua Bengio and Aaron Courville The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.
Q: What do you need to know about deep learning?
A: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts.
Q: Is the deep learning textbook available for free?
A: The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.