Also known as: FFN
Feedforward Neural Network (FFN) is a neural network architecture in which signals move in one direction from inputs through hidden layers to outputs, without recurrent or cyclic connections. Traditional multilayer neural networks are common examples of FFNs.
A neural network without cyclic or recursive connections. For example, traditional deep neural networks are feedforward neural networks. Contrast with recurrent neural networks, which are cyclic.