Deep learning neural networks : Design and case studies / Daniel Graupe

By:

Graupe, Daniel

Material type: Text

TextLanguage: English Publication details: Singapore : World Scientific Publishing, r 2022.Description: xvi, 263 p.: ill. ; 25 cmISBN:

9780000988546

Subject(s):

DDC classification:

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

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Holdings
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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