A feed forward network (FNN) is a type of artificial neural network (ANN) that is commonly used in generative AI. It is a simple but powerful model that can be used to learn complex relationships between data. Feed forward networks are composed of layers of neurons, which are connected to each other in a unidirectional way. Information flows from the input layer, through the hidden layers, and to the output layer.
See Also: Recurrent Neural Network (RNN)