Neural Networks Recognition

Language Modeling with Recurrent Neural Networks in TensorFlow  eBooks & eLearning

Posted by naag at April 2, 2018
Language Modeling with Recurrent Neural Networks in TensorFlow

Language Modeling with Recurrent Neural Networks in TensorFlow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 310 MB
Genre: eLearning | Language: English

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.

NEURAL NETWORKS using MATLAB. PATTERN RECOGNITION and CLASSIFICATION  eBooks & eLearning

Posted by AlexGolova at March 24, 2018
NEURAL NETWORKS using MATLAB. PATTERN RECOGNITION and CLASSIFICATION

NEURAL NETWORKS using MATLAB. PATTERN RECOGNITION and CLASSIFICATION by K. Taylor
English | 12 Feb. 2017 | ISBN: 1543065325 | 294 Pages | AZW3 | 2.95 MB

"Advanced Applications for Artificial Neural Networks" ed. by Adel El-Shahat  eBooks & eLearning

Posted by exLib at Feb. 28, 2018
"Advanced Applications for Artificial Neural Networks" ed. by Adel El-Shahat

"Advanced Applications for Artificial Neural Networks" ed. by Adel El-Shahat
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.

Neural Networks for Pattern Recognition  eBooks & eLearning

Posted by lengen at Dec. 24, 2017
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback)) by Christopher M. Bishop
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.
Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real-World Performance (Repost)

Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real-World Performance by Robert R. Trippi, Efraim Turban
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.

Stability and Synchronization Control of Stochastic Neural Networks  eBooks & eLearning

Posted by roxul at April 13, 2018
Stability and Synchronization Control of Stochastic Neural Networks

Wuneng Zhou, Jun Yang, "Stability and Synchronization Control of Stochastic Neural Networks"
English | ISBN: 3662478323 | 2015 | EPUB | 357 pages | 7 MB

Artificial Intelligence Foundations: Neural Networks  eBooks & eLearning

Posted by naag at April 12, 2018
Artificial Intelligence Foundations: Neural Networks

Artificial Intelligence Foundations: Neural Networks
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 16M | 458 MB
Genre: eLearning | Language: English
Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based Introduction

Richard McKeon, "Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based Introduction"
English | ISBN: 1484235061 | 2018 | 139 pages | PDF, EPUB | 8 MB

"Memristor and Memristive Neural Networks" ed. by Alex Pappachen James  eBooks & eLearning

Posted by exLib at April 6, 2018
"Memristor and Memristive Neural Networks" ed. by Alex Pappachen James

"Memristor and Memristive Neural Networks" ed. by Alex Pappachen James
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.

The Math of Neural Networks  eBooks & eLearning

Posted by IrGens at April 3, 2018
The Math of Neural Networks

The Math of Neural Networks by Michael Taylor, Mark Koning
English | October 4, 2017 | ISBN: 1549893645, ASIN: B075H364NC | AZW3 | 167 pages | 6.5 MB