MLP — Multilayer Perceptron

Fact

A neural network with several fully connected layers, moving data one way.

In Plain Words

An MLP is like a row of picky lunch judges. Each judge tastes the whole soup, then passes a score down the line.

It is a basic neural-network shape. It often sorts things into groups. It also sits as a small block inside big AI models.

Related Concepts

• Neural Network
• Backpropagation
• Transformer architecture
• Parameter

Neural-network
An MLP is one of the classic basic shapes in the neural-network family.

Backpropagation
An MLP usually uses Backprop to adjust weights in each layer.

Transformer
In a Transformer, an MLP often works as the feed-forward network block.

Parameter
An MLP has weights and biases, and both are learned Parameters.