File size: 530 Bytes
cba105a c13fce8 63c3cc7 c13fce8 202bf36 ad98009 202bf36 2766c72 202bf36 ad98009 6434545 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
---
license: mit
datasets:
- mnist
metrics:
- accuracy
pipeline_tag: image-classification
---
A super tiny mnist model to demostrate the potential of the learnable activation - OptAEG-V1.
The model can reach 96.6% accuracy with only 1.3k parameters.
The OptAEG-V1 learnable activation is based on a theory of Arithmetic Expression Geometry which is still in developing.
Please visit the draft papers on [theory](https://github.com/mountain/aeg-paper) and [neural networks](https://github.com/mountain/optim-aeg) for a reference |