Handbook on Neural Information Processing
This handbook presents some of the most recent topics in neural information processing, covering both theoretical concepts and practical applications. The contributions include: ����������������������� Deep architectures ����������������������� Recurrent, recursive, and graph neural networks �������...
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| Other Authors: | , , |
| Format: | Electronic |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Series: | Intelligent Systems Reference Library,
49 |
| Subjects: | |
| Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-36657-4 |