Feedforward Networks
Feedforward Network
A Feedforward Network, or a Multilayer Perceptron (MLP), is a neural network with solely densely connected layers. This is the classic neural network architecture of the literature. It consists of inputs $x$ passed through units $h$ (of which there can be many layers) to predict a target $y$. Activation functions are generally chosen to be non-linear to allow for flexible functional approximation.
Image Source: Deep Learning, Goodfellow et al
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Object Detection | 67 | 9.19% |
| Self-Supervised Learning | 62 | 8.50% |
| Image Generation | 42 | 5.76% |
| Semantic Segmentation | 29 | 3.98% |
| Image Classification | 24 | 3.29% |
| Disentanglement | 18 | 2.47% |
| Face Swapping | 13 | 1.78% |
| Image Manipulation | 10 | 1.37% |
| Language Modelling | 9 | 1.23% |
Dense Connections
