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Neural Networks A Classroom Approach By Satish Kumar Pdf Free 208

Neural Networks: A Classroom Approach by Satish Kumar - A Review

Neural networks are a fascinating and powerful branch of artificial intelligence that can model complex patterns and phenomena using interconnected nodes and learning algorithms. They have applications in various domains such as computer vision, natural language processing, speech recognition, robotics, and more. However, learning neural networks can be challenging for beginners and students who lack the necessary mathematical and computational background.

That is why Neural Networks: A Classroom Approach by Satish Kumar is a valuable resource for anyone who wants to learn the basics and advanced concepts of neural networks in a clear and comprehensive manner. The book is written by Satish Kumar, a professor of physics and computer science at Dayalbagh Educational Institute (Deemed University) in India. He has over 25 years of teaching and research experience in neural networks and related fields.

neural networks a classroom approach by satish kumar pdf free 208

The book covers the following topics:

  • The biological and historical foundations of neural networks

  • The structure and functioning of different types of neurons and neural networks

  • The principles and methods of supervised, unsupervised, and reinforcement learning

  • The design and implementation of various neural network architectures such as perceptrons, multilayer perceptrons, radial basis function networks, recurrent neural networks, self-organizing maps, Hopfield networks, associative memory networks, adaptive resonance theory networks, and more

  • The analysis and evaluation of neural network performance using error measures, learning curves, generalization ability, cross-validation, and complexity control

  • The applications and limitations of neural networks in real-world problems such as pattern recognition, classification, clustering, optimization, control, forecasting, data mining, image processing, natural language processing, and more

The book is designed as a textbook for undergraduate and postgraduate students of engineering, computer science, physics, mathematics, and related disciplines. It is also suitable for self-study and reference for researchers and practitioners who want to update their knowledge and skills in neural networks. The book is accompanied by a CD-ROM that contains the source code of the programs used in the book, as well as additional exercises and examples.

The book is available in PDF format for free download from the author's website. The PDF file has 208 pages and is about 5 MB in size. The book is also available in print form from McGraw-Hill Education (India) Pvt Limited. The print version has 736 pages and costs about $30.

In conclusion, Neural Networks: A Classroom Approach by Satish Kumar is an excellent book that provides a comprehensive and accessible introduction to the theory and practice of neural networks. It is highly recommended for anyone who wants to learn more about this fascinating and important field of artificial intelligence.

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