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3 Feedforward Neural Networks 3.1 Introduction

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A feedforward neural network, also known as a multilayer perceptron (MLP), is a popular supervised learning method that provides a parameterized form for the nonlinear map from an input to a predicted label [6]. The form of here can be depicted graphically as a directed layered network, where the directed edges go upward from nodes in one layer to nodes in the next layer. The neural network has been seen to be a very powerful model, as they are able to approximate any Borel measurable function to an arbitrary degree, provided that parameters are chosen correctly.

Computational Statistics in Data Science

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