Cloud Based Multi-Modal Information Analytics A Hands-On Approach
Cloud Based Multi-Modal Information Analytics: A Hands-On Approach by Srinidhi Hiriyannaiah, published by CRC Press LLC in 2023, offers a comprehensive exploration of data modalities and their integration through cloud solutions. This edition spans 247 pages and is presented in English. The book discusses the fundamentals of neural networks and their application in multi-modal information analytics, focusing on image-centric and video applications along with deployment solutions in the cloud.
Readers will find an in-depth examination of the life cycle of multi-modal data analytics, including the use of text, image, and video modalities. The book covers essential deep learning fundamentals and architectures, such as convolutional and recurrent neural networks, while also addressing various applications of multi-modal analytics, including text, speech, and image processing. This resource is designed for researchers interested in multi-modal analytics and related fields, providing practical insights into the integration of diverse data types within cloud environments.
Official synopsis Publisher
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
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