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Challenges and Opportunities for Deep Learning Applications in Industry 4. 0 by Vaishali Mehta, Dolly Sharma, Monika Mangla, Anita Gehlot, Rajesh Singh, Sergio Márquez Sánchez is a nonfiction available to read on EtoBox.

What is Challenges and Opportunities for Deep Learning Applications in Industry 4. 0 about?

The competence of deep learning for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep learning enables detection of meaningful features that are difficult to perform using traditional methods. The book takes the reader on a technological voyage of the industry 4.0 space. Chapters highlight recent applications of deep learning and the associated challenges and opportunities it presents for automating industrial processes and smart applications. Chapters introduce the reader to a broad range of topics in deep learning and machine learning. Several deep learning techniques used by industrial professionals are covered, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical project methodology. Readers will find information on the value of deep learning in applicat

Who reads Challenges and Opportunities for Deep Learning Applications in Industry 4. 0?

Author

Vaishali Mehta, Dolly Sharma, Monika Mangla, Anita Gehlot, Rajesh Singh, Sergio Márquez Sánchez

Publisher

Bentham Science Publishers Singapore Pte Ltd

Published

2022

Language

EN

ISBN

9789815036077

Category

nonfiction

Subjects

Science, Business, Computer Science