Librería:
Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Vendedor de AbeBooks desde 19 de enero de 2007
N° de ref. del artículo 401474370
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.
Acerca de los autores:
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.
Título: Dive into Deep Learning
Editorial: Cambridge University Press
Año de publicación: 2023
Encuadernación: Encuadernación de tapa blanda
Condición: New
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 45718328-n
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 45718328
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Paperback or Softback. Condición: New. Dive Into Deep Learning. Book. Nº de ref. del artículo: BBS-9781009389433
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Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 574 pages. 9.92x7.95x1.02 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __1009389432
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An approachable text combining the depth and quality of a textbook with the interactive multi-framework code of a hands-on tutorial.Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such d. Nº de ref. del artículo: 828086581
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Paperback. Condición: 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. Nº de ref. del artículo: LU-9781009389433
Cantidad disponible: Más de 20 disponibles
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
Paperback. Condición: 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. Nº de ref. del artículo: LU-9781009389433
Cantidad disponible: Más de 20 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 574 pages. 9.92x7.95x1.02 inches. In Stock. Nº de ref. del artículo: x-1009389432
Cantidad disponible: 2 disponibles