Feedforward neural network

A type of artificial neural network where connections between nodes do not form cycles, allowing information to move in one direction from input to output. Feedforward neural networks are characterized by their layered architecture, use of activation functions like sigmoid, tanh, and ReLU, and training through backpropagation to minimize loss. They are commonly used in applications such as image and speech recognition, benefiting researchers and developers in the field of machine learning and artificial intelligence.