The Neural Network Essentials

The Book is authored byDeepak K. Sharma is currently the Head of the Department of AIDS at GS MOZE College of Engineering, Pune. He is also a research fellow at SIDTM, Pune, and is involved in the Project (A2K+Studies) of the Department of Scientific and Industrial Research (DSIR), Government of India. Previously, he worked as a Graduate Engineer Trainee (GET) at the Institute for Plasma Research in Gandhinagar, under the Department of Atomic Energy, Government of India. Prof. Sharma has been awarded the Gold Medal in Electronics & Communication Engineering.Dr. Richa Sharma is a seasoned expert in Computer Science with 8.5 years of experience, specializing in cutting-edge fields like Blockchain, Cloud Computing, Data Science, and Artificial Intelligence. She holds an M.Tech from J.N. University, Jaipur, and a Ph.D. from CP University, Kota. Dr. Sharma is actively engaged in research, with an impressive record of 15 publications and one patent, reflecting her commitment to advancing technology and sharing insights through conferences and scholarly work.Dr. Uday Chandrakant Patkar is a prominent academic leader and the Head of the Department of Computer Engineering at Bharati Vidyapeeth’s College of Engineering in Lavale, Pune. With a Ph.D. focused on language model generation, he has authored 80 publications and holds 24 patents, reflecting his dedication to research and innovation. With over 17 years of experience in education, Dr. Patkar is committed to fostering learning through workshops and conferences, while also actively contributing to social initiatives and mentoring future engineers. His passion for teaching and leadership positions him as a key figure in shaping the next generation of technology professionals.Bhuman Vyas is a Senior Software Developer at Credit Acceptance, USA, with over 15 years of industry experience. A Fellow of the Royal Society of England, IAP, and RSA, he is a recognized thought leader, keynote speaker, and mentor. Bhuman has judged hackathons, chaired IEEE conference sessions, and conducted technical workshops for universities, showcasing his expertise in bridging academia and industry.This book offers a comprehensive guide to neural networks, starting with the foundational concepts in Chapter 1, which introduces readers to the basics of neural networks and their importance in modern AI applications. The subsequent chapters delve deeper into the structure and components of neural networks, exploring various types and their applications across industries. Readers are guided through the essential steps of training and optimizing these networks, with practical insights into commonly used techniques that enhance model performance and reliability. By covering the range from basic to advanced architectures, the book caters to both beginners and those with some knowledge of neural networks.The later chapters emphasize advanced topics, including specialized neural network architectures and cutting-edge optimization techniques that help maximize efficiency and accuracy. Evaluation methods and model selection are thoroughly discussed to ensure that readers can assess and choose the best neural network models for different use cases. By the end of the book, readers will gain a well-rounded understanding of how to develop, train, evaluate, and optimize neural networks effectively, equipping them with the skills needed to implement these models in real-world scenarios. Read more