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 | 52 | 6.26% |
| Retrieval | 39 | 4.69% |
| Question Answering | 30 | 3.61% |
| Large Language Model | 27 | 3.25% |
| Semantic Segmentation | 25 | 3.01% |
| Image Classification | 21 | 2.53% |
| Decoder | 20 | 2.41% |
| Object Detection | 16 | 1.93% |
| Classification | 15 | 1.81% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
