An approachable text combining the depth and quality of a textbook with the interactive multi-framework code of a hands-on tutorial.
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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.
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Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Paperback. Zustand: Good. 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. Artikel-Nr. CIN1009389432G
Anzahl: 1 verfügbar
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good. Cover and edges may have some wear. Artikel-Nr. mon0004147263
Anzahl: 2 verfügbar
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Artikel-Nr. ABBB-263234
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Paperback. Zustand: Brand New. 574 pages. 9.92x7.95x1.02 inches. In Stock. Artikel-Nr. 1009389432
Anzahl: 1 verfügbar
Anbieter: bookish.org, Barcelona, B, Spanien
Zustand: New. 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 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. Artikel-Nr. 9781009389433
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