Neural Networks And Deep Learning (Paperback)

Swati Vijay Shinde

ISBN 10: 9379297823 / ISBN 13: 9789379297822

Published by PHI Learning, 2026

About this Item

Paperback. Neural networks are changing the world around usfrom voice assistants on our phones to medical diagnosis and self-driving cars. But learning about them can feel overwhelming. This book makes neural networks simple and accessible for everyone. The book takes you on a clear journey from the basics to modern AI systems. It starts by showing how artificial neurons were inspired by the human brain, then builds up step by step to today's powerful architectures like transformers and generative models. The book is organized in five clear parts: building blocks, core architectures for different data types, modern language processing techniques, generative models, and practical applications. Each part builds naturally on the previous one. The book is organized in five clear parts: building blocks, core architectures for different data types, modern language processing techniques, generative models, and practical applications. Each part builds naturally on the previous one. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9789379297822

Bibliographic Details

• Title: Neural Networks And Deep Learning (Paperback)
• Publisher: PHI Learning
• Publication Date: 2026
• Language: English
• ISBN 10: 9379297823
• ISBN 13: 9789379297822
• Binding: Paperback
• Condition: new

About this title

Synopsis

Neural networks are changing the world around us―from voice assistants on our phones to medical diagnosis and self-driving cars. But learning about them can feel overwhelming. This book makes neural networks simple and accessible for everyone. The book takes you on a clear journey from the basics to modern AI systems. It starts by showing how artificial neurons were inspired by the human brain, then builds up step by step to today''s powerful architectures like transformers and generative models. The book is organized in five clear parts: building blocks, core architectures for different data types, modern language processing techniques, generative models, and practical applications. Each part builds naturally on the previous one.

About the Author

She is a Professor in the Department of Computer Engineering at Pimpri Chinchwad College of Engineering (PCCoE), Pune, where she serves as Dean of Management Information Systems. She completed her Ph.D. in Computer Science and Engineering from Swami Ramanand Teerth Marathwada University in 2015, following her B.E. (2001) and M.E. (2006) in Computer Engineering. With 23 years of academic and research experience, Dr. Shinde has dedicated her career to advancing AI education and research. She has published over 142 research papers, including 23 in SCI/Scopus-indexed journals, 9 book chapters, and 5 books with leading international publishers (CRC Press and Elsevier). Her research focuses on Machine Learning, Deep Learning, Artificial Neural Networks, and Soft Computing. Dr. Shinde is a certified NVIDIA Deep Learning Institute Ambassador and Instructor, training students and professionals in AI technologies.