Neural backpropagation

Results: 449



#Item
31Artificial neural networks / Computational neuroscience / Computational statistics / Mathematical psychology / Autoencoder / Backpropagation / Machine learning / Deep learning / Types of artificial neural networks

SHORT TERM TRAFFIC PREDICTION ON THE UK MOTORWAY NETWORK USING NEURAL NETWORKS Carl Goves Transport Systems Catapult 1.

Add to Reading List

Source URL: ts.catapult.org.uk

Language: English - Date: 2016-05-19 04:36:12
32Artificial neural networks / Multilayer perceptron / Feedforward neural network / Backpropagation / Delta rule / Perceptron / Artificial neuron / Activation function

Multilayer Perceptrons and Backpropagation Informatics 1 CG: Lecture 6 Mirella Lapata Reading: Kevin Gurney’s Introduction to Neural Networks,

Add to Reading List

Source URL: www.inf.ed.ac.uk

Language: English - Date: 2016-01-31 15:41:31
33Artificial neural networks / Multivariate statistics / Signal processing / Computational neuroscience / Computational statistics / Factorial code / Sepp Hochreiter / Autoencoder / Backpropagation / Principal component analysis / Independent component analysis

Feature extraction through LOCOCODE Neural Computation 11(3):679{714, 1999 Sepp Hochreiter Jurgen Schmidhuber

Add to Reading List

Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:20:42
34Artificial neural networks / Computational neuroscience / Multilayer perceptron / Perceptron / Connectionism / Function / Backpropagation / Feedforward neural network

Informatics 1 Cognitive Science (2015–2016) School of Informatics, University of Edinburgh Mirella Lapata Quiz 2: Perceptrons and Multilayer Perceptrons 1. Which one of the following is the perceptron’s input functio

Add to Reading List

Source URL: www.inf.ed.ac.uk

Language: English - Date: 2016-02-11 08:41:30
35Artificial neural networks / Recurrent neural network / Long short-term memory / Vanishing gradient problem / Sepp Hochreiter / Backpropagation through time / Backpropagation / Artificial intelligence / Artificial neuron / Time delay neural network / Deep learning / Types of artificial neural networks

Recurrent Neural Net Learning and Vanishing Gradient International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(2):107{116, 1998 Sepp Hochreiter Institut fur Informatik

Add to Reading List

Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:14:24
36Artificial neural networks / Computational neuroscience / Computational statistics / Mathematical psychology / Backpropagation / Generalization error

SIMPLIFYING NEURAL NETS BY DISCOVERING FLAT MINIMA Sepp Hochreiter Jurgen Schmidhubery

Add to Reading List

Source URL: www.bioinf.jku.at

Language: English - Date: 2011-08-11 02:59:44
37Artificial neural networks / Computational neuroscience / Computational statistics / Artificial intelligence / Mathematical psychology / Recurrent neural network / Sepp Hochreiter / Long short-term memory / Algorithm / Backpropagation

GUESSING CAN OUTPERFORM MANY LONG TIME LAG ALGORITHMS Technical Note IDSIAJurgen Schmidhuber IDSIA

Add to Reading List

Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:10:32
38Artificial neural networks / Long short-term memory / Recurrent neural network / Sepp Hochreiter / Backpropagation / Artificial intelligence / Pattern recognition / Time delay neural network / Computer / Deep learning / Types of artificial neural networks

LSTM CAN SOLVE HARD LONG TIME LAG PROBLEMS Sepp Hochreiter Fakultat fur Informatik Technische Universitat Munchen

Add to Reading List

Source URL: www.bioinf.jku.at

Language: English - Date: 2013-01-23 02:12:00
39Artificial neural networks / Multilayer perceptron / Perceptron / Artificial neuron

Informatics 1 CG – Tutorial 2 Week 3 The goal of this tutorial is to deepen your understanding of perceptrons in general as well as the backpropagation algorithm used for training multilayer perceptrons. You should mak

Add to Reading List

Source URL: www.inf.ed.ac.uk

Language: English - Date: 2015-01-23 06:08:04
40Artificial neural networks / Computational neuroscience / Convolutional neural network / Backpropagation / Artificial intelligence / Autoencoder / Biological neural network / Deep learning / Vanishing gradient problem

A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks ¨ Felix Grun Technische Universit¨at M¨unchen, Germany

Add to Reading List

Source URL: campar.in.tum.de

Language: English - Date: 2016-06-23 05:02:01
UPDATE