Deep Learning Techniques for Automation and Industrial Applications

Dive into this 15-chapter book on ‘Deep Learning Techniques’ and how its solutions allow computers to learn from experience and understand hierarchy concepts. It provides approaches to deep learning in areas of detection, prediction, and future framework development. This book presents a concise introduction to recent advances in the field of AI, discussing reinforcement learning and applying deep learning techniques to various domains.

Topics discussed in this book:

-        The penetration of social media in society and how women living in India are deprived of mobile services. The study generates research on how gender characterizes individuals

-        Discusses agriculture’s role and the detection of diseases in plants

-        Basic deep learning techniques  and how dataset images are compared among model performances

-        Talks about image processing fields like surveillance, detection, and recognition. Digital properties have developed dehazing techniques to enhance images and obtain information

-        Explains the modification of networking services and how it affects the way of cyberspace communication

-        Extensive research on how deep learning is used and challenged by academics, students, and researchers in pointing out accurate metrics and how to increase green AI by reducing its environmental impact