Deep Learning Applications, Volume 2 (Hardcover, 1st ed. 2021)


This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

R4,554

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles45540
Mobicred@R427pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 12 - 17 working days


Toggle WishListAdd to wish list
Review this Item

Product Description

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.

Customer Reviews

No reviews or ratings yet - be the first to create one!

Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Advances in Intelligent Systems and Computing, 1232

Release date

September 2020

Availability

Expected to ship within 12 - 17 working days

First published

2021

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

300

Edition

1st ed. 2021

ISBN-13

978-981-15-6758-2

Barcode

9789811567582

Categories

LSN

981-15-6758-1



Trending On Loot