Deep Feedforward Neural Network

A Deep Feedforward Neural Network is a Deep Neural Network that is a Feed-Forward Neural Network.

• Example(s):
  • a 10-Layer Feedforward Neural Network,
  • a Deep Convolutional Neural Network.
  • …
• Counter-Example(s):
  • a Shallow Feedforward Neural Network,
  • a Radial Basis Function NNet,
  • a Recurrent Neural Network.
• See: Directed Cycle, Backprop Algorithm, Perceptron Model.

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References

2018

• (Wikipedia, 2018) ⇒ https://en.wikipedia.org/wiki/Feedforward_neural_network Retrieved:2018-9-2.
  • A feedforward neural network is an artificial neural network wherein connections between the nodes do not form a cycle (Zell, 1994).As such, it is different from recurrent neural networks.

    The feedforward neural network was the first and simplest type of artificial neural network devised (Schmidhuber, 2015). In this network, the information moves in only one direction, forward, from the input nodes, through the hidden nodes (if any) and to the output nodes. There are no cycles or loops in the network (Zell, 1994).

    

    In a feed forward network information always moves one direction; it never goes backwards.