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.

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Product Description

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.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Advances in Intelligent Systems and Computing, 1098

Release date

March 2020

Availability

Expected to ship within 10 - 15 working days

First published

2020

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

178

Edition

1st ed. 2020

ISBN-13

978-981-15-1815-7

Barcode

9789811518157

Categories

LSN

981-15-1815-7



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