Convergence Analysis of Recurrent Neural Networks (Network Theory and Applications) - Info and Reading Options
By Zhang Yi and K.K. Tan

"Convergence Analysis of Recurrent Neural Networks (Network Theory and Applications)" is published by Springer in November 30, 2003, it has 250 pages and the language of the book is English.
“Convergence Analysis of Recurrent Neural Networks (Network Theory and Applications)” Metadata:
- Title: ➤ Convergence Analysis of Recurrent Neural Networks (Network Theory and Applications)
- Authors: Zhang YiK.K. Tan
- Language: English
- Number of Pages: 250
- Publisher: Springer
- Publish Date: November 30, 2003
“Convergence Analysis of Recurrent Neural Networks (Network Theory and Applications)” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - History of science - Mathematics - Neural Networks - Computers - Computers - Communications / Networking - Computer Books: General - Neural networks (Computer scie - Applied - Computers / Computer Science - Engineering - Electrical & Electronic - Neural networks (computer science)
Edition Specifications:
- Format: Hardcover
- Weight: 1.2 pounds
- Dimensions: 9.4 x 6.3 x 0.4 inches
Edition Identifiers:
- The Open Library ID: OL8372848M - OL8701541W
- ISBN-13: 9781402076947
- ISBN-10: 1402076940
- All ISBNs: 1402076940 - 9781402076947
AI-generated Review of “Convergence Analysis of Recurrent Neural Networks (Network Theory and Applications)”:
Snippets and Summary:
Generally, neural networks can be divided into two large classes.
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