Image from Google Jackets

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

By: Goodfellow, Ian [author.]Contributor(s): Bengio, Yoshua [author.] | Courville, Aaron [author.]Material type: TextTextSeries: 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 Item reservations
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 1 006.31 GOO (Browse shelf(Opens below)) Available 06727913
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 1 006.31 GOO (Browse shelf(Opens below)) Available 06727921
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 1 006.31 GOO (Browse shelf(Opens below)) Issued 11/11/2024 06727948
Total reservations: 0

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.

Specialized.

There are no comments on this title.

to post a comment.