Neural-network — Neural Network

Fact

A model made of layered nodes that learn patterns from data.

In Plain Words

A neural network is like a school cafeteria line for guesses. Each station adds one clue. The last station yells, “Cat!”

It helps AI see pictures, use words, and make new stuff. It is the basic frame inside many AI models.

Related Concepts

• Parameter
• Transformer architecture
• Diffusion Model
• Vector Embedding

Parameter
Parameters decide the behavior a neural network learns after training.

Transformer
A Transformer helps a neural network handle long sequences.

Diffusion
Diffusion uses a neural network to learn how to rebuild content from noise.

Embedding
An Embedding is a meaning pattern learned by a neural network.