A Field Guide to Dynamical Recurrent Networks
| Author | : | |
| Rating | : | 4.38 (650 Votes) |
| Asin | : | 0780353692 |
| Format Type | : | paperback |
| Number of Pages | : | 464 Pages |
| Publish Date | : | 2017-01-18 |
| Language | : | English |
DESCRIPTION:
a very good book on RNN stefano The most impostant arguments on RNN are treated in this book. Expert scientist have wrote book's chapters. I'm interesting on the problem of vanishing gradient
Kolen is a member of the Institute for Human and Machine Cognition at the University of West Florida. Kolen has explored the computational capabilities of dynamical recurrent networks on a wide range of projects: computer tomography of ballistic tests, autonomous science on extraterrestrial sensor platforms, and laser marksmanship modeling. Kremer's research interests include connectionist networks (the subject of his 1996 thesis "A Theo
It provides a solid foundation in DRN systems theory and practice using consistent notation and terminology. Acquire the tools for understanding new architectures and algorithms of dynamical recurrent networks (DRNs) from this valuable field guide, which documents recent forays into artificial intelligence, control theory, and connectionism. This unbiased introduction to DRNs and their application to time-series problems (such as classification and prediction) provides a comprehensive overview of the recent explosion of leading research in this prolific field. A Field Guid
This unbiased introduction to DRNs and their application to time-series problems (such as classification and prediction) provides a comprehensive overview of the recent explosion of leading research in this prolific field. It provides a solid foundation in DRN systems theory and practice using consistent notation and terminology. From the Back Cover Electrical Engineering A Field Guide to Dynamical Recurrent Networks Acquire the tools for understanding new architectures and algorithms of dynamical recurrent networks (DRNs) from this valuable field guide, which documents recent forays into artificial intelligence, control theory, and connectionism. . It provides