Salem, Fathi M.
Recurrent Neural Networks: From Simple to Gated Architectures
- ISBN 13:
- 9783030899288
- author:
- Salem, Fathi M.
- format:
- Hardback
- publisher:
- Springer
- language:
- English
- Publication Year:
- 2022
- Pages:
- 121
- Dimensions:
- 23.4 x 15.6 x 1 centimetres (0.3
- Genre:
- Computers, Server & Database, Data Mining,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
This comprehensive textbook provides a compact treatment of recurrent neural networks, covering both analytical and design steps from scratch. It offers a principled approach to training these networks using generalized backpropagation through time (BPTT) and focuses on the basics and nuances of the subject.
The author's holistic approach covers simple to gated architectures, employing adaptive non-convex optimization with dynamic constraints to optimize learning and training processes. This enables strategic co-training of output layers using supervised learning and hidden layers using unsupervised learning, resulting in more efficient internal representations and improved accuracy performance.
Related Products
Related Products
The Math of Neural Networks
Taylor, Michael
Neural Networks (In Search of Media)
Dhaliwal, Ranjodh Singh
Modeling Neural Circuits Made Simple with Python
Rosenbaum, Robert
Make Your Own Neural Network
Rashid, Tariq
Neural Network Design (2nd Edition)
Hagan, Martin T.