Feed-forward networks are DAGs with nodes usually arranged in layers (an input layer, possible intermediate hidden layers, and an output layer):
Computation proceeds uniformly from the input layer (whose activation is the input vector), through any hidden layers, to the final output layer.
No internal state other than the link weights.
