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 |
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Task | Papers | Share |
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Object Detection | 69 | 8.86% |
Self-Supervised Learning | 62 | 7.96% |
Image Generation | 39 | 5.01% |
Decoder | 35 | 4.49% |
Semantic Segmentation | 27 | 3.47% |
Image Classification | 21 | 2.70% |
Disentanglement | 15 | 1.93% |
Face Swapping | 13 | 1.67% |
Language Modelling | 11 | 1.41% |