Deep Learning - A Comprehensive Guide (Hardcover)

1) Focuses on the concepts and implementation strategies of various Deep Learning algorithms through properly curated examples. 2) The subject area will be valid for the next 10 years or so, as Deep Learning theory/algorithms and their applications will not be outdated easily. Hence there will be demand for such a book in the market. 3) In comparison to other titles, this book rigorously covers mathematical and conceptual details of relevant topics.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	December 2021
First published:	2022
Authors:	Siniraj Pulari • Subashri Vasudevan • Shriram K. Vasudevan
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	290
ISBN-13:	978-1-03-202882-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Environmental engineering & technology > General Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	1-03-202882-3
Barcode:	9781032028828

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