Recurrent Neural Networks: Design and Applications is written by Larry Medsker and Lakhmi C. Jain. This Neural Networks book is published by CRC. This book will help you to learn neural networks and its wide applications such as motion detection to music synthesis to financial forecasting, etc. Moreover this book teaches you recurrent neural networks and its design, current researches in this field and challenges of artificial neural networks.
Recurrent Neural Networks: Design and Applications covers the following topics.
Recurrent Neural Networks: Design and Applications covers the following topics.
- You can learn problems involving trajectories, control systems, robotics, and RNN use in chaotic systems.
- This neural network book helps you to learn recurrent neural net architectures, design issues and theories, and its applications.
- You will learn recurrent neural networks for optimization, problems and design of neural networks, efficient second order learning algorithms for discrete time recurrent neural networks and designing high order recurrent networks for Bayesian belief, etc.
- Moreover this book covers training algorithms for recurrent neural nets that eliminate the need for computation of error gradients with application to trajectory production problem.
Recurrent Neural Networks: Design and Applications (The Crc Press International Series on Computational Intelligence)
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