Deep Learning: A Practical Introduction

dc.contributor.author	Martinez-Ramon, Manel
dc.contributor.author	Ajith, Meenu
dc.contributor.author	Rajendra Kurup, Aswathy
dc.date.accessioned	2024-10-15T01:39:27Z
dc.date.available	2024-10-15T01:39:27Z
dc.date.issued	2024
dc.identifier.isbn	978-1119861867
dc.identifier.isbn	1119861861
dc.identifier.uri	https://thuvienso.hoasen.edu.vn/handle/123456789/15837
dc.description	416 pages	vi
dc.description.abstract	An engaging and accessible introduction to deep learning perfect for students and professionals In Deep Learning: A Practical Introduction, a team of distinguished researchers delivers a book complete with coverage of the theoretical and practical elements of deep learning. The book includes extensive examples, end-of-chapter exercises, homework, exam material, and a GitHub repository containing code and data for all provided examples.	vi
dc.language.iso	en	vi
dc.publisher	Wiley	vi
dc.subject	Deep Learning	vi
dc.subject	network	vi
dc.subject	artificial intelligence	vi
dc.subject	computer science	vi
dc.title	Deep Learning: A Practical Introduction	vi
dc.type	Book	vi