Layer

A layer is one stage in a neural network. Data flows in, the layer does its math, and passes the result to the next layer. Deep models have many — a modern LLM might have 32 to 100+.

Early layers catch low-level patterns (word shapes, syntax); later layers compose those into higher-level meaning.

That “deep stack of layers” is literally what “deep learning” is named for.