Deep Learning Applications (Paperback, 1st ed. 2020)

This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018), focusing on use of deep learning technology in application like game playing, medical applications, video analytics, regression/classification, object detection/recognition and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Advances in Intelligent Systems and Computing, 1098
Release date:	March 2020
First published:	2020
Editors:	M. Arif Wani • Mehmed Kantardzic • Moamar Sayed-Mouchaweh
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	178
Edition:	1st ed. 2020
ISBN-13:	978-981-15-1815-7
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-15-1815-7
Barcode:	9789811518157

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