| license: mit | |
| datasets: | |
| - mnist | |
| metrics: | |
| - accuracy | |
| pipeline_tag: image-classification | |
| A super tiny mnist model to demostrate the potential of the leanable non-linearity OptAEG-V1. | |
| The model reaches 96.3% accuracy with only 1.5k parameter size. | |
| The OptAEG-V1 leanable non-linearity is based on a thery of Arithmetic Expression Geometry. | |
| The theory is still in developing, please reference https://github.com/mountain/aeg-paper |