| # PhiNet on MNIST | |
| This repository contains checkpoints for the MNIST dataset for the following combinations of PhiNet's hyperparameters: | |
| | Model | Top 1 Accuracy | Top 5 Accuracy | | |
| | ------------------ |---------------- | -------------- | | |
| | `PhiNet(alpha=0.5, beta=1, t_zero=6, num_layers=4)` | 99.12% | 100% | | |
| | `PhiNet(alpha=0.75, beta=1, t_zero=6, num_layers=5)` | 98.94% | 99.98% | | |
| To download and use this repo: | |
| ``` | |
| from micromind import PhiNet | |
| model = PhiNet.from_pretrained("MNIST", alpha=0.5, beta=1.0, t_zero=6, num_layers=4, num_classes=10, resolution=28) | |
| ``` | |
| ## Authors | |
| - [@fpaissan](https://www.github.com/fpaissan) | |
| - [@matteobeltrami](https://www.github.com/matteobeltrami) | |
| --- | |
| license: mit | |
| --- |