Neural Networks Course

Deep Learning and Neural Networks in PyTorch for Beginners  eBooks & eLearning

Posted by IrGens at June 23, 2018
Deep Learning and Neural Networks in PyTorch for Beginners

Deep Learning and Neural Networks in PyTorch for Beginners
.MP4, AVC, 200 kbps, 1920x1080 | English, AAC, 128 kbps, 2 Ch | 2 hrs 8 mins | 372 MB
Instructor: Daniel We

Deep Learning A-Z™: Hands-On Artificial Neural Networks (2017)  eBooks & eLearning

Posted by ParRus at July 26, 2017
Deep Learning A-Z™: Hands-On Artificial Neural Networks (2017)

Deep Learning A-Z™: Hands-On Artificial Neural Networks (2017)
WEBRip | English | MP4 | 1280 x 720 | AVC ~48 kbps | 30 fps
AAC | 192 Kbps | 48.0 KHz | 2 channels | 21:52:04 | 3.15 GB
Genre: eLearning Video / Development, Programming

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts.
Deep Learning: Comprehensive guide with essential principles of deep learning and neural networks

Deep Learning: Comprehensive guide with essential principles of deep learning and neural networks (Beginner’s guide) by Samuel Harris
English | 20 Jun. 2018 | ASIN: B07DX9DG25 | 87 Pages | EPUB | 151.04 KB
Evolutionary Approach to Machine Learning and Deep Neural Networks: Neuro-Evolution and Gene Regulatory Networks

Evolutionary Approach to Machine Learning and Deep Neural Networks: Neuro-Evolution and Gene Regulatory Networks by Hitoshi Iba
English | PDF,EPUB | 2018 | 254 Pages | ISBN : 9811301999 | 28.01 MB

This book provides theoretical and practical knowledge about a methodology for evolutionary algorithm-based search strategy with the integration of several machine learning and deep learning techniques. These include convolutional neural networks, Gröbner bases, relevance vector machines, transfer learning, bagging and boosting methods, clustering techniques (affinity propagation), and belief networks, among others.
Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science)

Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science) by Anthony L. Caterini
English | 26 Apr. 2018 | ISBN: 3319753037 | 100 Pages | PDF/EPUB | 2.72 MB

Kalman Filtering and Neural Networks (Repost)  eBooks & eLearning

Posted by DZ123 at June 5, 2018
Kalman Filtering and Neural Networks (Repost)

Simon Haykin, "Kalman Filtering and Neural Networks"
English | 2001 | ISBN: 0471369985 | DJVU | pages: 284 | 1.8 mb
Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis

Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis by Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
English | 2017 | ISBN: 3319703374 | 72 Pages | PDF | 5.6 MB

The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective forecasting system.

Artificial Neural Networks and Machine Learning – ICANN 2017, Part II  eBooks & eLearning

Posted by Jeembo at May 28, 2018
Artificial Neural Networks and Machine Learning – ICANN 2017, Part II

Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa
English | 2017 | ISBN: 3319686119 | 801 Pages | PDF | 95.9 MB

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017.

Artificial Neural Networks and Machine Learning – ICANN 2017, Part I  eBooks & eLearning

Posted by Jeembo at May 28, 2018
Artificial Neural Networks and Machine Learning – ICANN 2017, Part I

Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa
English | 2017 | ISBN: 3319685996 | 469 Pages | PDF | 125.1 MB

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017.

Advances in Neural Networks – ISNN 2018  eBooks & eLearning

Posted by AvaxGenius at May 25, 2018
Advances in Neural Networks – ISNN 2018

Advances in Neural Networks – ISNN 2018: 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25–28, 2018, Proceedings By Tingwen Huang
English | PDF | 2018 | 879 Pages | ISBN : 3319925369 | 71.78 MB

This book constitutes the refereed proceedings of the 15th International Symposium on Neural Networks, ISNN 2018, held in Minsk, Belarus in June 2018.The 98 revised regular papers presented in this volume were carefully reviewed and selected from 214 submissions. The papers cover many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical engineering, clustering, classification, forecasting, models, algorithms, cognitive computation, machine learning, and optimization.​