Items related to Dive into Deep Learning
Synopsis
An approachable text combining the depth and quality of a textbook with the interactive multi-framework code of a hands-on tutorial.
"synopsis" may belong to another edition of this title.
About the Authors
Aston Zhang is Senior Scientist at Amazon Web Services.
Zachary C. Lipton is Assistant Professor of Machine Learning and Operations Research at Carnegie Mellon University.
Mu Li is Senior Principal Scientist at Amazon Web Services.
Alexander J. Smola is VP/Distinguished Scientist for Machine Learning at Amazon Web Services.
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date2024
- ISBN 10 1009389432
- ISBN 13 9781009389433
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages574
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Dive into Deep Learning
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Cambridge University Press, 2023
ISBN 10: 1009389432
ISBN 13: 9781009389433
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DIVE INTO DEEP LEARNING
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Dive into Deep Learning
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Dive into Deep Learning
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Dive into Deep Learning
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Dive into Deep Learning (Paperback)
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ISBN 10: 1009389432
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Paperback. Condition: new. Paperback. Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse elds as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for tting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is requiredevery concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice. This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesn't require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781009389433
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Dive into Deep Learning
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Dive Into Deep Learning
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Taschenbuch. Condition: Neu. Neuware -Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for fitting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required-every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice. 574 pp. Englisch. Seller Inventory # 9781009389433
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Dive into Deep Learning
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ISBN 13: 9781009389433
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