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The Best Deep Learning Ian Goodfellow of 2023 – Reviewed and Top Rated

2,660 Reviews Scanned

SaleRank No. #1
Deep Learning (Adaptive Computation and Machine Learning series)
  • Language Published: English
  • Binding: hardcover
  • It ensures you get the best usage for a longer period
  • Hardcover Book
  • Goodfellow, Ian (Author)
Rank No. #2
Deep Learning
  • Goodfellow, Ian (Author)
  • English (Publication Language)
  • 804 Pages - 04/22/2023 (Publication Date) - Alanna Maldonado (Publisher)
Rank No. #3
Deep Learning (The MIT Press Essential Knowledge series)
  • Amazon Kindle Edition
  • Kelleher, John D. (Author)
  • English (Publication Language)
  • 295 Pages - 09/10/2019 (Publication Date) - The MIT Press (Publisher)
SaleRank No. #4
Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street
  • Singh, Nick (Author)
  • English (Publication Language)
  • 301 Pages - 08/16/2021 (Publication Date) - Ace the Data Science Interview (Publisher)
SaleRank No. #5
Age of Invisible Machines: A Practical Guide to Creating a Hyperautomated Ecosystem of Intelligent Digital Workers
  • Hardcover Book
  • Wilson, Robb (Author)
  • English (Publication Language)
  • 288 Pages - 09/27/2022 (Publication Date) - Wiley (Publisher)
SaleRank No. #6
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
  • Raschka, Sebastian (Author)
  • English (Publication Language)
  • 774 Pages - 02/25/2022 (Publication Date) - Packt Publishing (Publisher)
SaleRank No. #7
Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)
  • Hardcover Book
  • Sutton, Richard S. (Author)
  • English (Publication Language)
  • 552 Pages - 11/13/2018 (Publication Date) - Bradford Books (Publisher)
SaleRank No. #8
ChatGPT-4 for Beginners: Boost Productivity and Skyrocket Your Earning Potential with Conversational AI Solutions
  • Audible Audiobook
  • Jerry Sinclaire (Author) - Max Newland (Narrator)
  • English (Publication Language)
  • 05/22/2023 (Publication Date) - Publishing Pros Ltd (Publisher)
SaleRank No. #9
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
  • Géron, Aurélien (Author)
  • English (Publication Language)
  • 856 Pages - 10/15/2019 (Publication Date) - O'Reilly Media (Publisher)
Rank No. #10
Neural Networks and Deep Learning: A Textbook
  • Amazon Kindle Edition
  • Aggarwal, Charu C. (Author)
  • English (Publication Language)
  • 512 Pages - 08/25/2018 (Publication Date) - Springer (Publisher)
SaleRank No. #11
Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)
  • Hardcover Book
  • Murphy, Kevin P. (Author)
  • English (Publication Language)
  • 864 Pages - 03/01/2022 (Publication Date) - The MIT Press (Publisher)
SaleRank No. #12
Machine Learning System Design Interview
  • Aminian, Ali (Author)
  • English (Publication Language)
  • 294 Pages - 01/28/2023 (Publication Date) - ByeByteGo (Publisher)
Rank No. #13
Deep Learning: Engage the World Change the World
  • Amazon Kindle Edition
  • Fullan, Michael (Author)
  • English (Publication Language)
  • 206 Pages - 11/06/2017 (Publication Date) - Corwin (Publisher)
SaleRank No. #14
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
  • Language Published: English
  • Binding: Hardcover
  • Comes in Good condition
  • Hardcover Book
  • Hastie, Trevor (Author)
SaleRank No. #15
Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools
  • Stevens, Eli (Author)
  • English (Publication Language)
  • 520 Pages - 08/04/2020 (Publication Date) - Manning (Publisher)
SaleRank No. #16
Pattern Recognition and Machine Learning (Information Science and Statistics)
  • Hardcover Book
  • Bishop, Christopher M. (Author)
  • English (Publication Language)
  • 738 Pages - 08/17/2006 (Publication Date) - Springer (Publisher)
SaleRank No. #17
Deep Learning: A Visual Approach
  • Deep Learning: A Visual Approach
  • No Starch Press
  • ABIS BOOK
  • Glassner, Andrew (Author)
  • English (Publication Language)
SaleRank No. #18
Practical Deep Learning: A Python-Based Introduction
  • Kneusel, Ronald T. (Author)
  • English (Publication Language)
  • 464 Pages - 02/23/2021 (Publication Date) - No Starch Press (Publisher)
Rank No. #19
Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition
  • Amazon Kindle Edition
  • Kapoor, Amita (Author)
  • English (Publication Language)
  • 698 Pages - 10/06/2022 (Publication Date) - Packt Publishing (Publisher)
SaleRank No. #20
Deep Learning with Python (Second Edition)
  • Audible Audiobook
  • Francois Chollet (Author) - Derek Dysart (Narrator)
  • English (Publication Language)
  • 02/01/2022 (Publication Date) - Manning Publications (Publisher)

Last update on 2023-08-02 / Affiliate links / Product Titles, Images, Descriptions from Amazon Product Advertising API

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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.

Q: Who are the authors of the MIT deep learning book?

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.

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