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

Cloud-based Multi-Modal Information Analytics: A Hands-on Approach provides an overview of the fundamentals of neural networks, different types of modalities, and their applications in image-centric and video domains. It covers the life cycle of multi-modal data analytics, deep learning fundamentals, and architectures, and discusses text, speech, and image applications. The book is aimed at researchers in multi-modal analytics and related areas.

Format: Hardback
Length: 247 pages
Publication date: 29 June 2023
Publisher: Taylor & Francis Ltd

Cloud-based Multi-Modal Information Analytics: A Hands-on Approach delves into the diverse modalities of data, offering an aggregated solution through cloud computing. It encompasses the foundational principles of neural networks, exploring various types and their applications in multi-modal information analytics. Additionally, it presents diverse application areas, such as image-centric and video-based scenarios, along with cloud-based deployment solutions.

The book discusses the life cycle of multi-modal data analytics, encompassing applications involving text, image, and video modalities. It delves into the fundamentals of deep learning, encompassing convolutional neural networks, recurrent neural networks, and different learning approaches for multi-modal networks. Furthermore, it showcases real-world applications of multi-modal analytics across text, speech, and image domains, catering to researchers and practitioners in the field of multi-modal analytics and its related areas.

Weight: 508g
Dimension: 162 x 241 x 21 (mm)
ISBN-13: 9781032105673