Daniel Amit Neural Networks

Principles of Artificial Neural Networks (Advanced Series on Circuits and Systems) by Daniel Graupe [Repost]

Principles of Artificial Neural Networks (Advanced Series on Circuits and Systems) by Daniel Graupe
English | Jan 1997 | ISBN: 9810225164 | 252 Pages | PDF | 16 MB

This textbook is intended for a first-year graduate course on artificial neural networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields,
Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) by Daniel Graupe [Repost]

Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) by Daniel Graupe
English | April 5, 2007 | ISBN: 9812706240 | 320 pages | PDF | 3 MB

The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry.

Daniel Graupe, Principles of Artificial Neural Networks  eBooks & eLearning

Posted by Direktor69 at April 13, 2013
 Daniel Graupe, Principles of Artificial Neural Networks

Daniel Graupe, Principles of Artificial Neural Networks
ISBN: 9810225164 | edition 1997 | PDF | 252 pages | 16 mb

This textbook is intended for a first-year graduate course on artificial neural networks. It assumes no prior background in the subject and is directed to MS students in electrical engineering, computer science and related fields, with background in at least one programming language or in a programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing.

Sensitivity Analysis for Neural Networks (repost)  eBooks & eLearning

Posted by tot167 at May 10, 2010
Sensitivity Analysis for Neural Networks (repost)

Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W.Y. Ng, "Sensitivity Analysis for Neural Networks"
Springer | 2009 | ISBN: 3642025315 | 120 pages | PDF | 1,3 MB
Convolutional Neural Networks in Python: Introduction to Convolutional Neural Networks

Convolutional Neural Networks in Python: Introduction to Convolutional Neural Networks
English | 2017 | ISBN-10: 1973908786 | 82 pages | AZW3 | 0.2 Mb

Convolutional Neural Networks in Python

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.
Advances in Neural Networks - ISNN 2017: 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Part II

Advances in Neural Networks - ISNN 2017: 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, … Part II by Fengyu Cong
English | 2017 | ISBN: 3319590804, 9783319590806 | 595 Pages | PDF | 53.34 MB

Deep Learning and Convolutional Neural Networks for Medical Image Computing  eBooks & eLearning

Posted by AvaxGenius at July 15, 2017
Deep Learning and Convolutional Neural Networks for Medical Image Computing

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets By Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang
English | PDF | 2017 | 327 Pages | ISBN : 3319429981 | 13.71 MB

This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples.

Advances in Neural Networks – ISNN 2014 (Repost)  eBooks & eLearning

Posted by step778 at July 14, 2017
Advances in Neural Networks – ISNN 2014 (Repost)

Zhigang Zeng, Yangmin Li, Irwin King, "Advances in Neural Networks – ISNN 2014"
2014 | pages: 661 | ISBN: 3319124358 | PDF | 34,3 mb
Neural Networks in Organizational Research: Applying Pattern Recogniton to the Analysis of Organizational Behavior [Repost]

David Scarborough, Mark John Somers - Neural Networks in Organizational Research: Applying Pattern Recogniton to the Analysis of Organizational Behavior
Published: 2007-03-08 | ISBN: 1591474159 | PDF | 187 pages | 9.07 MB