TagNeural Networks

The backpropagation algorithm

Backpropagation is one of the several ways in which an artificial neural network (ANN) can be trained. It is a supervised training scheme, which means, it learns from labeled training data. In simple terms, BackProp is like “learning from mistakes. “The supervisor corrects the ANN whenever it makes mistakes.” Initially, all the edge weights are randomly assigned. For every input...

Perceptron Neural Network using Matlab

Perceptron is one of the simplest forms of a neural network model. The following code snippet is a simple version of such a neural network using Matlab. Before using it please read some background information at wikipedia :  clc; clear all; close all; % Data inputs=[1 0 0; 1 0 1;1 1 0;1 1 1]; % Desired Output desiredOutput=[1 1 1 0]; % Learning Rate learningRate=0.1; % HardLimit threshold...

Literature Review in Speech Emotion Recognition

Introduction Speech is one of the fastest and most natural ways of communication between humans. The speech signal contains not only the message but also necessary information like the emotions of the speaker [1]. Therefore, Speech emotion recognition (SER) is a research field that based on speech recognition but deals with the recognizing the emotional state of the speaker. Speech emotion...

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