Learning with Recurrent Neural Networks

Learning with Recurrent Neural Networks by Barbara Hammer.

Folding networks, a generalisation of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data, for example. The architecture, the training mechanism, and several applications in different areas are explained. Afterwards a...

Full description

Saved in:
Bibliographic Details
Main Author: Hammer, Barbara (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2000.
Edition:1st ed. 2000.
Series:Lecture Notes in Control and Information Sciences, 254
Springer eBook Collection.
Subjects:
Control engineering.
Robotics.
Mechatronics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Login for hold information

‌

Click to view e-book

Online

Holdings details from Online
Call Number: E-Book
Copy 1 Available

Similar Items