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Cloud-based Multi-Modal Information Analytics: A Hands-on Approach

Cloud-based Multi-Modal Information Analytics

A Hands-on Approach
 
Edition number: 1
Publisher: Chapman and Hall
Date of Publication:
 
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Product details:
ISBN13:9781032105673
ISBN10:1032105674
Binding:Hardback
No. of pages:256 pages
Size:234x156 mm
Weight:630 g
Language:English
Illustrations: 210 Illustrations, black & white; 183 Halftones, black & white; 27 Line drawings, black & white; 3 Tables, black & white
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Short description:

The text discusses various modalities of data and provides aggregated solutions using cloud. It includes the fundamentals of neural networks, different types and how it can be used for the multi-modal information analytics. Various image-centric and video application areas are presented with deployment solutions in the cloud.

Long description:

Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud.



Features




  • Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video.



  • Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks.



  • Applications of Multi-Modal Analytics covering Text , Speech, and Image.



This book is aimed at researchers in Multi-modal analytics and related areas

Table of Contents:

Part 1: Introduction to Cloud based Multi
-Modal data and Analytics


1. Multi
-Modal data analytics and lifecycle using Cloud. 2. Cloud Computing. 3. Overview of Deep learning. 4. Deep Learning Platforms and Cloud


Part 2: Architectures & Examples for Multi
-Modal data and Analytics using Cloud


5. Neural Networks for Multi
-modal data analytics. 6. Cloud examples for Neural Networks Multi
-modal architectures. 7. Training Neural Networks on Cloud


Part 3: Cloud based Applications of Multi
-Modal Analytics


8. Image Analytics. 9. Text Analytics. 10. Speech Analytics. Exercises.