Recurrent Neural Networks: Concepts and Applications

Bys: Kumar, Tyagi Amit and Abraham, Ajith

The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neural networks. It discusses important topics including recurrent and folding networks, long short-term memory (LSTM) networks, gated recurrent unit neural networks, language modeling, neural network model, activation function, feed-forward network, learning algorithm, neural turning machines,...

• Format: Hardcover
• Language: English
• ISBN: 1032081643
• ISBN13: 9781032081649
• Release Date: August 2022
• Publisher: CRC Press
• Length: 396 Pages
• Weight: 1.66 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"