Deep Learning: Concepts, Architectures, and Applications
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| 06-Oct-2026
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This textbook provides a comprehensive introduction to the fundamental concepts, architectures, algorithms, and applications of Deep Learning. It covers essential topics including artificial neural networks, deep neural network architectures, conv...
This textbook provides a comprehensive introduction to the fundamental concepts, architectures, algorithms, and applications of Deep Learning. It covers essential topics including artificial neural networks, deep neural network architectures, convolutional neural networks, recurrent neural networks, optimization techniques, regularization, transfer learning, computer vision, natural language processing, and emerging applications. The book combines theoretical foundations with application-oriented discussions to help readers understand how deep learning techniques are designed and applied to real-world problems. It is intended to serve as a useful academic resource for students, educators, researchers, and professionals interested in Artificial Intelligence, Machine Learning, and Deep Learning.
Tags : Dr. G. Joel Sunny Deol,Dr. B. Siva Lakshmi,Dr. K. Vamsi Krishna,Murakonda Bharathi Rani,Deep Learning,Artificial Intelligence,Neural Networks,Machine Learning,Convolutional Neural Networks,Recurrent Neural Networks,Computer Vision,Natural Language Processing,Deep Learning: Concepts,Architectures,and Applications