Forward pass

A forward pass is the process of feeding input data through a neural network layer by layer to produce an output. During training it is followed by a backward pass that computes gradients.

Forward pass sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called Forward propagation.