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

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      SKU 9781032105673 Categories ,
      Select Guide Rating
      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...

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      Description

      Product ID:9781032105673
      Product Form:Hardback
      Country of Manufacture:GB
      Series:Chapman & Hall/CRC Cloud Computing for Society 5.0
      Title:Cloud-based Multi-Modal Information Analytics
      Subtitle:A Hands-on Approach
      Authors:Author: Siddesh G M, Srinivasa K G, Srinidhi Hiriyannaiah
      Page Count:247
      Subjects:Electrical engineering, Electrical engineering, Automatic control engineering, Environmental science, engineering and technology, Information technology: general topics, Data capture and analysis, Cloud computing, Computer architecture and logic design, Artificial intelligence, Neural networks and fuzzy systems, Automatic control engineering, Environmental science, engineering & technology, Information technology: general issues, Data capture & analysis, Cloud computing, Computer architecture & logic design, Artificial intelligence, Neural networks & fuzzy systems
      Description:Select Guide Rating
      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.

      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


      Imprint Name:Chapman & Hall/CRC
      Publisher Name:Taylor & Francis Ltd
      Country of Publication:GB
      Publishing Date:2023-06-29

      Additional information

      Weight508 g
      Dimensions162 × 241 × 21 mm