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