Feedforward Network

A feedforward network is a type of artificial neural network where information moves in one direction—from input to output—without looping back. Think of it like a series of connected filters: each layer processes the data, extracting features or patterns, and passes the refined information forward. It’s used in tasks like recognizing images or translating languages. Because data flows straightforwardly, it's simple to understand and train, making it a foundational structure in machine learning systems.