image-classification dataset:fashion_mnist license:mit region:us
---
license: mit
datasets:
- fashion_mnist
metrics:
- accuracy
pipeline_tag: image-classification
---

A tiny fashion-mnist model to demostrate the potential of the learnable activation - OptAEG-V1.

The model can reach 90.2% accuracy with only 48.5k 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