Deep learning neural networks : design and case studies
By: Graupe, Daniel
Material type:
BookPublisher: New Jersey : World Scientific, c2016.Description: xvi, 263 p. : ill., ; 25 cm.ISBN: 9789813146457; 9789813146440; 9813146451Subject(s): Neural networks (Computer science) -- Design | Neural networks (Computer science) -- Problems, exercises, etc | Machine learning | Neural networks (Computer science) -- Design | Neural networks (Computer science) | Machine learningDDC classification: 006.31 GR DE Online resources: Location Map
| Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 006.31 GR DE (Browse shelf) | Available | April2018 | T0059483 |
Total holds: 0
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| 006.31 FO DA Data smart : | 006.31 GE HA Hands-on machine learning with Scikit-Learn and TensorFlow : | 006.31 GO DE Deep learning | 006.31 GR DE Deep learning neural networks : | 006.31 HA MA Machine Learning Mathematics : | 006.31 HO LE Learning TensorFlow : | 006.31 LA MA Machine learning with R : |
Includes bibliographical references and indexes.
Deep learning neural networks : methodology and scope --
Basic concepts of neural networks --
Back-propagation --
The cognitron and neocognitron --
Deep learning convolutional neural networks --
LAMSTAR-1 and LAMSTAR-2 neural networks --
Other neural networks for deep learning --
Case studies --
Concluding comments.