Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 384
Book Description
Bookfellow
Deep Learning
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
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. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX 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. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
Book Description
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. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX 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. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
The English Review
Author: Ford Madox Ford
Publisher:
ISBN:
Category : Modernism (Literature)
Languages : en
Pages : 754
Book Description
Publisher:
ISBN:
Category : Modernism (Literature)
Languages : en
Pages : 754
Book Description
Books at Iowa
British Books
The Book
Author: F. J. F. Suarez
Publisher: OUP Oxford
ISBN: 0191668745
Category : Reference
Languages : en
Pages : 769
Book Description
A concise edition of the highly acclaimed Oxford Companion to the Book, this book features the 51 articles from the Companion plus 3 brand new chapters in one affordable volume. The 54 chapters introduce readers to the fascinating world of book history. Including 21 thematic studies on topics such as writing systems, the ancient and the medieval book, and the economics of print, as well as 33 regional and national histories of 'the book', offering a truly global survey of the book around the world, the Oxford History of the Book is the most comprehensive work of its kind. The three new articles, specially commissioned for this spin-off, cover censorship, copyright and intellectual property, and book history in the Caribbean and Bermuda. All essays are illustrated throughout with reproductions, diagrams, and examples of various typographical features. Beautifully produced and hugely informative, this is a must-have for anyone with an interest in book history and the written word.
Publisher: OUP Oxford
ISBN: 0191668745
Category : Reference
Languages : en
Pages : 769
Book Description
A concise edition of the highly acclaimed Oxford Companion to the Book, this book features the 51 articles from the Companion plus 3 brand new chapters in one affordable volume. The 54 chapters introduce readers to the fascinating world of book history. Including 21 thematic studies on topics such as writing systems, the ancient and the medieval book, and the economics of print, as well as 33 regional and national histories of 'the book', offering a truly global survey of the book around the world, the Oxford History of the Book is the most comprehensive work of its kind. The three new articles, specially commissioned for this spin-off, cover censorship, copyright and intellectual property, and book history in the Caribbean and Bermuda. All essays are illustrated throughout with reproductions, diagrams, and examples of various typographical features. Beautifully produced and hugely informative, this is a must-have for anyone with an interest in book history and the written word.
Shaw Neilson
Author: Hugh Anderson
Publisher:
ISBN:
Category : Australia
Languages : en
Pages : 66
Book Description
Publisher:
ISBN:
Category : Australia
Languages : en
Pages : 66
Book Description
Concentration in the Book-publishing and Bookselling Industry
Author: United States. Congress. Senate. Committee on the Judiciary. Subcommittee on Antitrust, Monopoly, and Business Rights
Publisher:
ISBN:
Category : Book industries and trade
Languages : en
Pages : 124
Book Description
Publisher:
ISBN:
Category : Book industries and trade
Languages : en
Pages : 124
Book Description
Catalog of Copyright Entries
Author: Library of Congress. Copyright Office
Publisher:
ISBN:
Category : American drama
Languages : en
Pages : 848
Book Description
Publisher:
ISBN:
Category : American drama
Languages : en
Pages : 848
Book Description
Book Reviewing
Author: Wayne Gard
Publisher:
ISBN:
Category : Book reviewing
Languages : en
Pages : 178
Book Description
Publisher:
ISBN:
Category : Book reviewing
Languages : en
Pages : 178
Book Description