Recurrent Neural Networks for Temporal Data Processing
Overview & Synopsis
By presenting the latest research work the book demonstrates how real-time Recurrent Neural Networks (RNNs) can be implemented to expand the range of traditional signal processing techniques and to help combat the problem of prediction. Within this text neural networks are considered as massively interconnected nonlinear adaptive filters.
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Document Information
| Document Title | Recurrent Neural Networks for Temporal Data Processing |
|---|---|
| Author / Organization | Hubert Cardot |
| Subject & Discipline | Neural Networks, Deep Learning, Machine Learning, Artificial Intelligence |
| Categories | Neural Networks |
| Publication Year | 2011 |
| License / Rights | Attribution 3.0 Unported (CC BY 3.0) |
| Resource Verification | ✓ Verified Direct PDF Available |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
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| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 4352.1 KB (4,456,542 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-94688 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |