Posted by **naag** at April 2, 2018

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 310 MB

If you are working with text data using neural networks, RNNs are a natural choice for sequences. This course works through language modeling problems using RNNS - optical character recognition or OCR and generating text using character prediction.

Posted by **AlexGolova** at March 24, 2018

English | 12 Feb. 2017 | ISBN: 1543065325 | 294 Pages | AZW3 | 2.95 MB

Posted by **exLib** at Feb. 28, 2018

ITExLi | 2018 | ISBN: 9535137808 9789535137801 9535137816 9789535137818 | 286 pages | PDF | 36 MB

In this book, highly qualified multidisciplinary scientists grasp their recent researches motivated by the importance of artificial neural networks.

Posted by **lengen** at Dec. 24, 2017

English | Jan. 18, 1996 | ISBN: 0198538642 | 498 Pages | PDF | 22 MB

This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models.

Posted by **leonardo78** at April 21, 2018

Language: English | 1996 | ISBN: 1557389195 | 821 pages | PDF (scan) | 51,1 MB

This completely updated version of the classic first edition offers a wealth of new material reflecting the latest developments in teh field.

Posted by **roxul** at April 13, 2018

English | ISBN: 3662478323 | 2015 | EPUB | 357 pages | 7 MB

Posted by **naag** at April 12, 2018

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 16M | 458 MB

Posted by **roxul** at April 10, 2018

English | ISBN: 1484235061 | 2018 | 139 pages | PDF, EPUB | 8 MB

Posted by **exLib** at April 6, 2018

ITExLi | 2018 | ISBN: 9535139487 9789535139485 9535139479 9789535139478 | 308 pages | PDF | 40 MB

This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.

Posted by **IrGens** at April 3, 2018

English | October 4, 2017 | ISBN: 1549893645, ASIN: B075H364NC | AZW3 | 167 pages | 6.5 MB