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 |
|---|---|---|
| GPT-4 | 97 | 11.62% |
| Language Modelling | 46 | 5.51% |
| Retrieval | 34 | 4.07% |
| Semantic Segmentation | 27 | 3.23% |
| Question Answering | 24 | 2.87% |
| Large Language Model | 23 | 2.75% |
| Object Detection | 18 | 2.16% |
| Image Classification | 17 | 2.04% |
| Text Generation | 12 | 1.44% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
