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Principles of deep learning theory : an effective theory approach to understanding neural networks

By:

Roberts, Daniel A.

Contributor(s):

Yaida, Sho [Co-Author]

Publication details: Cambridge University Press, New York : 2022Description: x, 460pISBN:

9781316519332

Subject(s):

DDC classification:

006.3 ROB

Average rating: 0.0 (0 votes)

Holdings ( 1 )

Holdings
Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode	Item holds
Reference Books	Central LIBRARY R1-1F REFERENCE SECTION	Computer Science	006.3 ROB (Browse shelf(Opens below))		Reference Books (Not For Loan)		DD70036

Total holds: 0

Browsing Central LIBRARY shelves, Shelving location: R1-1F REFERENCE SECTION, Collection: Computer Science Close shelf browser (Hides shelf browser)

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Previous	006.3 NEG Artificial intelligence : a guide to intelligent systems	006.3 NIL Principal of artificial intelligence	006.3 POO Artificial intelligence : foundations of computational agents	006.3 ROB Principles of deep learning theory : an effective theory approach to understanding neural networks	006.3 RUS Artificial intelligence : modern approach	006.3 SHA Swarm intelligence : foundation, principles and engineering applications	006.3 SIN Explainable AI for education : recent trends and challenges	Next

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