Deep Learning Networks - Design, Development and Deployment (1st ed. 2024)

This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems. 

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2023
First published:	2024
Authors:	Jayakumar Singaram • S.S. Iyengar • Azad M. Madni
Dimensions:	235 x 155mm (L x W)
Edition:	1st ed. 2024
ISBN-13:	978-3-03-139243-6
Categories:	Books
LSN:	3-03-139243-4
Barcode:	9783031392436

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