Feedforward neural network
lastmod 2023-01-20created 2015-12-236 edits
A feedforward neural network is an artificial neural network where connections between the units do not form a cycle. This is different from recurrent neural networks.
The feedforward neural network was the first and simplest type of artificial neural network devised. 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.
A Feedforward Connection is a neural network model in which layers are connected only in the forward direction, as in Concrete Strength.
Feature
- The first neural network, in its simplest form
- Has no cycles or loops
- Different from a recurrent neural network
- The simplest form of neural network usable in practice
- Also called a Multilayer perceptron
See also
- Machine learning
- Perceptron
- Neural network
- Feed-forward
- Backpropagation
- Rprop
- The Forward-Forward Algorithm - Deep learning pioneer Geoffrey Hinton's new deep learning algorithm "FF"