Introduction to Machine Learning with Python

Neural Network

Author(s): Deepti Chopra and Roopal Khurana

Pp: 83-96 (14)

DOI: 10.2174/9789815124422123010008

* (Excluding Mailing and Handling)

Abstract

A Support Vector Machine is used for the purpose of classification and regression. In the previous chapter, we discussed Support Vector Machine, margin and large margin methods, and kernel methods. A neural network refers to a parallel computing device that attempts to mimic the model of the brain. In the following chapter, we will discuss the early models of Neural Networks as well as the Perceptron learning model, back propagation, and Stochastic Gradient Descent.


Keywords: Artificial neural network, Backpropagation, Data science, Machine learning, Neural network, Perceptron learning, Python

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