Output Functions
Softmax
The Softmax output function transforms a previous layer's output into a vector of probabilities. It is commonly used for multiclass classification. Given an input vector $x$ and a weighting vector $w$ we have:
$$ P(y=j \mid{x}) = \frac{e^{x^{T}w_{j}}}{\sum^{K}_{k=1}e^{x^{T}wk}} $$
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Language Modelling | 48 | 7.37% |
| Object Detection | 35 | 5.38% |
| Semantic Segmentation | 31 | 4.76% |
| Image Classification | 28 | 4.30% |
| Machine Translation | 17 | 2.61% |
| Sentiment Analysis | 15 | 2.30% |
| Question Answering | 12 | 1.84% |
| Instance Segmentation | 10 | 1.54% |
| Text Generation | 10 | 1.54% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |