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.
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