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CIFAR-10

Image Classification
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  # micromind checkpoints for CIFAR-10
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  This repository contains checkpoints for the CIFAR-10 dataset for the following networks:
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  | Model | Top 1 Accuracy | Top 5 Accuracy |
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  | ------------------ |---------------- | -------------- |
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- | `PhiNet(alpha=3, beta=0.75, t_zero=6, num_layers=7, resolution=160)` | 93.53% | 99.68% |
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- | `PhiNet(alpha=0.75, beta=1, t_zero=6, num_layers=5, resolution=160)` | 87.32% | 99.4% |
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- | `PhiNet(alpha=0.35, beta=1, t_zero=6, num_layers=7, resolution=160)` | 87.99% | 99.57% |
 
 
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  To download and use this repo:
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+ ---
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+ license: mit
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+ datasets:
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+ - cifar10
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+ language:
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+ - en
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+ pipeline_tag: image-classification
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+ ---
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  # micromind checkpoints for CIFAR-10
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  This repository contains checkpoints for the CIFAR-10 dataset for the following networks:
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  | Model | Top 1 Accuracy | Top 5 Accuracy |
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  | ------------------ |---------------- | -------------- |
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+ | `PhiNet(alpha=3, beta=0.75, t_zero=6, num_layers=7, resolution=160)` | 93.61% | 99.77% |
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+ | `PhiNet(alpha=0.75, beta=1, t_zero=6, num_layers=5, resolution=160)` | 86.8% | 99.5% |
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+ | `PhiNet(alpha=0.35, beta=1, t_zero=6, num_layers=7, resolution=160)` | 88.08% | 99.48% |
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+ | `PhiNet(alpha=0.25, beta=1, t_zero=6, num_layers=7, resolution=160)` | 84.97% | 99.3% |
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+ | `PhiNet(alpha=0.25, beta=1, t_zero=5, num_layers=7, resolution=160)` | 83.01% | 99.2% |
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  To download and use this repo:
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