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.

Feedforward neural network was discovered on October 21st 2021 and it currently has a search volume of 18.1K with a growth of -29%.