Learning Deep Architectures for AI
Overview & Synopsis
Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g. in vision, language, and other AI-level tasks), one would need deep architectures.
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Document Information
| Document Title | Learning Deep Architectures for AI |
|---|---|
| Author / Organization | Yoshua Bengio |
| Subject & Discipline | Neural Networks and Deep Learning, Machine Learning, Data Science, Artificial Intelligence, Data Analysis and Data Mining |
| Categories | Neural Networks and Deep Learning |
| Publication Year | 2009 |
| ISBN | 1601982941 |
| Resource Verification | Verification pending |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-258996 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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