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 | 70 | 9.43% |
Self-Supervised Learning | 61 | 8.22% |
Image Generation | 49 | 6.60% |
Semantic Segmentation | 44 | 5.93% |
Image Classification | 43 | 5.80% |
Disentanglement | 22 | 2.96% |
Instance Segmentation | 17 | 2.29% |
General Classification | 13 | 1.75% |
Image-to-Image Translation | 11 | 1.48% |