Neural Networks Course

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.

Advanced Neural Networks with Tensorflow  eBooks & eLearning

Posted by naag at Feb. 17, 2018
Advanced Neural Networks with Tensorflow

Advanced Neural Networks with Tensorflow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 534 MB
Genre: eLearning | Language: English

Neural Networks are at the forefront of almost all recent major technology breakthroughs. The intersection of big data, parallel programming, and AI generated a new wave of Neural Network research. In this course, you will be taken through some of the best uses of Neural Networks using TensorFlow.
Connectionist Models of Development: Developmental Processes in Real and Artificial Neural Networks

Philip T. Quinlan, "Connectionist Models of Development: Developmental Processes in Real and Artificial Neural Networks"
2003 | pages: 373 | ISBN: 1841692689 | PDF | 3,4 mb
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
Machine Learning With Go: Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More...

Machine Learning With Go: Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language by Daniel Whitenack
English | September 26th, 2017 | ISBN: 1785882104, 9781785882104 | 294 Pages | True PDF | 6.32 MB

The mission of this book is to turn readers into productive, innovative data analysts who leverage Go to build robust and valuable applications. To this end, the book clearly introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real-world scenarios.