A feedforward neural network (also known as a multi-layer perceptron) is a type of artificial [[neural network]] that consists of multiple layers of interconnected neurons, where information flows in a one-directional manner, from input to output. It's one of the foundational architectures in machine learning and deep learning. In a feedforward neural network, each neuron in a layer is connected to every neuron in the subsequent layer. The network comprises an input layer, one or more hidden layers, and an output layer. The term "feedforward" indicates that the information passes through the network without any loops or feedback connections. [[neural network]] < [[Hands-on LLMs]]/[[1 Machine Learning Basics]]