Maxout - AI & ML Glossary | Farez Vadsaria

Neural Networks & Deep Learning

Maxout

An activation function that outputs the maximum of multiple linear functions, providing universal approximation.

This concept is essential for understanding neural networks & deep learning and forms a key part of modern AI systems.

Activation Function
ReLU
Piecewise Linear

Tags

neural-networks-deep-learning activation-function relu piecewise-linear

Related Terms

Activation Function

A non-linear function applied to neuron outputs that introduces non-linearity, enabling networks to learn complex patterns.

ReLU

Rectified Linear Unit - an activation function that outputs the input if positive, zero otherwise. f(x) = max(0, x).

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