Graupe, Daniel <br/><br/>
Deep learning neural networks :  design and case studies 
Daniel Graupe 
 - New Jersey :  World Scientific,  c2016. 
 - xvi, 263 p. :  ill., ;  25 cm. 
<br/><br/>
<br/><br/>Deep learning neural networks : methodology and scope --<br/> Basic concepts of neural networks --<br/> Back-propagation --<br/> The cognitron and neocognitron --<br/> Deep learning convolutional neural networks --<br/> LAMSTAR-1 and LAMSTAR-2 neural networks --<br/> Other neural networks for deep learning --<br/> Case studies --<br/> Concluding comments. 
<br/><br/><label>ISBN: </label>9789813146457 9789813146440 9813146451 
<br/><br/><label>LCCN: </label>2016288268 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural networks (Computer science)--Design<br/>Neural networks (Computer science)--Problems, exercises, etc.<br/>Machine learning<br/>Neural networks (Computer science)--Design<br/>Neural networks (Computer science)<br/>Machine learning
<br/><br/><label>Dewey Class. No.: </label>006.31 GR DE