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
|Conditional Image Generation||15||3.03%|
|Self-Supervised Image Classification||8||1.62%|