Describe the Function Approximation in MLP. Also, explain Generalizati

Question

Describe the Function Approximation in MLP. Also, explain Generalization of MLP.

06 Feb 2025

Answer :

Word Count : 266

Function approximation in Multi-Layer Perceptrons (MLPs) refers to the ability of an MLP to model complex functions by learning from the data. An MLP consists of multiple layers of interconnected neurons, where each layer performs a mathematical operation. The input layer receives the data, and the hidden layers transform the input through activation __________ __________ _____ ____ ____ _______ _________ ________.
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