Image Processing Using Pulse Coupled Neural Networks: Applications in Python

Image Processing using Pulse-Coupled Neural Networks: Applications in Python  eBooks & eLearning

Posted by avava at Oct. 5, 2013
Image Processing using Pulse-Coupled Neural Networks: Applications in Python

Thomas Lindblad, "Image Processing using Pulse-Coupled Neural Networks: Applications in Python (Biological and Medical Physics, Biomedical Engineering)"
ISBN: 364236876X | 2013 | PDF | 248 pages | 6.6 MB

Image Processing Using Pulse-Coupled Neural Networks by Jason M. Kinser [Repost]  eBooks & eLearning

Posted by tanas.olesya at Oct. 28, 2014
Image Processing Using Pulse-Coupled Neural Networks by Jason M. Kinser [Repost]

Image Processing Using Pulse-Coupled Neural Networks by Jason M. Kinser
Springer; 2nd edition | September 13, 2005 | English | ISBN: 3642021468 | 169 pages | PDF | 5 MB

This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images.

Image Processing Using Pulse-Coupled Neural Networks by T. Lindblad, J.M. Kinser  eBooks & eLearning

Posted by Alexpal at Feb. 7, 2006
Image Processing Using Pulse-Coupled Neural Networks by  T. Lindblad, J.M. Kinser

Image Processing Using Pulse-Coupled Neural Networks by T. Lindblad, J.M. Kinser
Publisher: Springer; 2 edition (September 13, 2005) | ISBN: 354024218X | PDF | 5,9 Mb | 164 pages

This is the first book to explain and demonstrate the tremendous ability of Pulse-Coupled Neural Networks (PCNNs) when applied to the field of image processing. PCNNs and their derivatives are biologically inspired models that are powerful tools for extracting texture, segments, and edges from images. As these attributes form the foundations of most image processing tasks, the use of PCNNs facilitates traditional tasks such as recognition, foveation, and image fusion. PCNN technology has also paved the way for new image processing techniques such as object isolation, spiral image fusion, image signatures, and content-based image searches. This volume contains examples of several image processing applications, as well as a review of hardware implementations.

Applications of Pulse-Coupled Neural Networks (repost)  eBooks & eLearning

Posted by Veslefrikk at Aug. 22, 2014
Applications of Pulse-Coupled Neural Networks (repost)

Yide Ma, "Applications of Pulse-Coupled Neural Networks"
Publisher: S****ger | ISBN 10: 364213744X | 2011 | PDF | 260 pages | 6.6 MB

Applications of Pulse-Coupled Neural Networks (repost)  eBooks & eLearning

Posted by fdts at May 31, 2014
Applications of Pulse-Coupled Neural Networks (repost)

Applications of Pulse-Coupled Neural Networks
by Yide Ma
English | 2011 | ISBN: 364213744X | 260 pages | PDF | 6.65 MB

Applications of Pulse-Coupled Neural Networks  eBooks & eLearning

Posted by avava at Sept. 20, 2011
Applications of Pulse-Coupled Neural Networks

Yide Ma, "Applications of Pulse-Coupled Neural Networks"
Publisher: S****ger | ISBN 10: 364213744X | 2011 | PDF | 260 pages | 6.6 MB

Unsupervised Deep Learning in Python  eBooks & eLearning

Posted by AlenMiler at Oct. 17, 2016
Unsupervised Deep Learning in Python

Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano (Machine Learning in Python) by LazyProgrammer
English | 30 Jun 2016 | ASIN: B01HUA6BOG | 62 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.26 MB

When we talk about modern deep learning, we are often not talking about vanilla neural networks - but newer developments, like using Autoencoders and Restricted Boltzmann Machines to do unsupervised pre-training.

Deep Learning in Python Prerequisites  eBooks & eLearning

Posted by AlenMiler at April 15, 2016
Deep Learning in Python Prerequisites

Deep Learning in Python Prerequisites: Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python) by LazyProgrammer
English | March 19, 2016 | ASIN: B01D7GDRQ2 | 43 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.31 MB

Do you find deep learning difficult? So you want to learn about deep learning and neural networks, but you don’t have a clue what machine learning even is. This book is for you.

Deep Learning in Python  eBooks & eLearning

Posted by AlenMiler at March 14, 2016
Deep Learning in Python

Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow (Machine Learning in Python) by LazyProgrammer
English | March 11, 2016 | ASIN: B01CVJ19E8 | 38 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.19 MB

Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game.
Digital Signal and Image Processing using MATLAB, Volume 3: Advances and Applications, The Stochastic Case

Gérard Blanchet, Maurice Charbit, "Digital Signal and Image Processing using MATLAB, Volume 3: Advances and Applications, The Stochastic Case"
English | ISBN: 1848217951 | 2015 | 362 pages | PDF (conv) | 18 MB