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DEEP NEURAL NETWORKS

DEEP NEURAL NETWORKS

Mrs. B. Nithya Head of the Department, CSE, Mrs. T. Judes Divya, Assistant Professor, Department of Computer Science and Engineering
Type: Print Book
Genre: Engineering
Language: English
Price: ₹225 + shipping
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Description

Deep Neural Networks is a comprehensive guide to the principles, architectures, algorithms, and applications of modern deep learning systems. The book introduces the fundamental concepts of artificial neural networks and explores advanced deep learning models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, Autoencoders, and Transformer architectures.

Designed for students, researchers, academicians, and industry professionals, this book provides a balanced blend of theory and practical implementation. It covers learning algorithms, optimization techniques, model evaluation, and real-world applications in computer vision, natural language processing, healthcare, autonomous systems, cybersecurity, and intelligent communication networks.

Through illustrative examples, diagrams, case studies, and hands-on exercises, readers will gain the knowledge and skills required to design, develop, and deploy deep neural network solutions for solving complex real-world problems.

About the Authors

Mrs. B. Nithya is the Head of the Department of Computer Science and Engineering at Surya Group of Institutions, Vikravandi, Tamil Nadu. She has extensive experience in teaching, research, and academic administration. Her areas of interest include Artificial Intelligence, Deep Learning, Machine Learning, Data Analytics, and Emerging Technologies. She is committed to fostering innovation, research excellence, and student development in the field of Computer Science and Engineering.

Mrs. T. Judes Divya is an Assistant Professor in the Department of Computer Science and Engineering at Tagore Engineering College, Chennai, Tamil Nadu. She specializes in Artificial Intelligence, Deep Learning, Data Science, and Intelligent Computing Systems. Her research focuses on applying advanced AI techniques to solve real-world challenges across diverse domains.

Together, the authors bring a blend of academic expertise and research experience, offering valuable insights into the concepts, architectures, and practical applications of Deep Neural Networks. Their shared vision is to make advanced AI concepts accessible to students, researchers, and professionals, empowering them to contribute to the rapidly evolving field of Artificial Intelligence.

Book Details

Number of Pages: 89
Dimensions: 8.27"x11.69"
Interior Pages: B&W
Binding: Paperback (Perfect Binding)
Availability: In Stock (Print on Demand)

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