Cloud-based Multi-Modal Information Analytics
A Hands-on Approach
Series: Chapman & Hall/CRC Cloud Computing for Society 5.0;
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49 592 Ft
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Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 29 June 2023
- ISBN 9781032105673
- Binding Hardback
- No. of pages256 pages
- Size 234x156 mm
- Weight 453 g
- Language English
- Illustrations 210 Illustrations, black & white; 183 Halftones, black & white; 27 Line drawings, black & white; 3 Tables, black & white 516
Categories
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.
MoreLong 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
MoreTable 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.
More
Cloud-based Multi-Modal Information Analytics: A Hands-on Approach
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