Methods › General › Feedforward Networks
Feedforward Networks
Feedforward Networks are a type of neural network architecture which rely primarily on dense-like connections. Below you can find a continuously updating list of feedforward network components.
Methods
All 15 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| Dense Connections | – | 29,230 |
| Linear Layer | – | 25,421 |
| Position-Wise Feed-Forward Layer | – | 13,895 |
| Feedforward Network | – | 1,339 |
| Adapter | – | 1,147 |
| HyperNetwork | – | 239 |
| Highway Network | – | 91 |
| Mix-FFN | – | 47 |
| Switch FFN | – | 20 |
| Affine Operator | – | 12 |
| Spatial Gating Unit | – | 9 |
| ALCN Adaptive Locally Connected Neuron | – | 2 |
| Boom Layer | – | 2 |
| DExTra | – | 1 |
| VarImpVIANN Variance-based Feature Importance of Artificial Neural Networks | – | 1 |