<--- Back to Details
First PageDocument Content
Statistics / Artificial neural network / Feedforward neural network / Backpropagation / Tsallis statistics / Perceptron / Nonextensive entropy / Multilayer perceptron / Self-organizing map / Neural networks / Machine learning / Cybernetics
Date: 2009-08-11 10:09:40
Statistics
Artificial neural network
Feedforward neural network
Backpropagation
Tsallis statistics
Perceptron
Nonextensive entropy
Multilayer perceptron
Self-organizing map
Neural networks
Machine learning
Cybernetics

488 Dimitrios Kalamatianos et al. A nonextensive method for spectroscopic data analysis with artificial neural networks Dimitrios Kalamatianos

Add to Reading List

Source URL: www.sbfisica.org.br

Download Document from Source Website

File Size: 1,02 MB

Share Document on Facebook

Similar Documents

Backpropagation for a Linear Layer Justin Johnson April 19, 2017 In these notes we will explicitly derive the equations to use when backpropagating through a linear layer, using minibatches. During the forward pass, the

Backpropagation for a Linear Layer Justin Johnson April 19, 2017 In these notes we will explicitly derive the equations to use when backpropagating through a linear layer, using minibatches. During the forward pass, the

DocID: 1vseD - View Document

Backpropagation and Gradients Agenda ● ●

Backpropagation and Gradients Agenda ● ●

DocID: 1uBQU - View Document

On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We present a simple, intuitive argument based on “inva

On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We present a simple, intuitive argument based on “inva

DocID: 1uALI - View Document

Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a

Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a

DocID: 1thx4 - View Document

arXiv:1605.07736v1 [cs.LG] 25 MayLearning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Dept. of Computer Science

arXiv:1605.07736v1 [cs.LG] 25 MayLearning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Dept. of Computer Science

DocID: 1t5PP - View Document