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


Paper Code Results Date Stars


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%