Details for: Deep learning / › University of West London Library catalogue

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Deep learning / Ian Goodfellow, Yoshua Bengio and Aaron Courville.

By: Goodfellow, Ian [author.]Contributor(s): Bengio, Yoshua [author.] | Courville, Aaron [author.]Material type: Text

TextSeries: Adaptive computation and machine learningPublisher: Cambridge, Massachusetts : The MIT Press, [2016]Copyright date: ©2016Description: xxii, 775 pages : illustrations (black and white, and colour) ; 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9780262035613 (hbk.) :Subject(s): Machine learning | Computers and IT | Computers and ITDDC classification: 006.3'1 Summary: 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.

Holdings
Item type	Current library	Home library	Shelving location	Class number	Status	Date due	Barcode
Book	Paul Hamlyn Library	Paul Hamlyn Library	Floor 1	006.31 GOO (Browse shelf(Opens below))	Available		06727913
Book	Paul Hamlyn Library	Paul Hamlyn Library	Floor 1	006.31 GOO (Browse shelf(Opens below))	Available		06727921
Book	Paul Hamlyn Library	Paul Hamlyn Library	Floor 1	006.31 GOO (Browse shelf(Opens below))	Issued	11/11/2024	06727948

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Previous	006.31 GER Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems /	006.31 GOO Deep learning /	006.31 GOO Deep learning /	006.31 GOO Deep learning /	006.31 HAS The elements of statistical learning : data mining, inference, and prediction /	006.31 HAS The elements of statistical learning : data mining, inference, and prediction /	006.31 LAN Machine learning with R : expert techniques for predictive modeling /	Next

Includes bibliographical references and index.

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.

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