Deep learning neural networks : Design and case studies / Daniel Graupe
Material type: TextLanguage: English Publication details: Singapore : World Scientific Publishing, r 2022.Description: xvi, 263 p.: ill. ; 25 cmISBN:- 9780000988546
- 23 006.31 GRA
Contents:
1. Deep learning neural networks: methodology and scope
2. Basic concepts of neural networks
3. Back-propagation
4. The cognitron and neocognitron
5. Deep learning convolutional neural networks
6. LAMSTAR-1 and LAMSTAR-2 neural networks
7. Other neural networks for deep learning
8. Case studies
9. Concluding comments
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
General Books | CUTN Central Library Generalia | Non-fiction | 006.31 GRA (Browse shelf(Opens below)) | Available | 46865 |
1. Deep learning neural networks: methodology and scope
2. Basic concepts of neural networks
3. Back-propagation
4. The cognitron and neocognitron
5. Deep learning convolutional neural networks
6. LAMSTAR-1 and LAMSTAR-2 neural networks
7. Other neural networks for deep learning
8. Case studies
9. Concluding comments
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