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+ ## Training
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+ Fast.ai was used to train this classifier with a ResNet50 vision learner, without much customization.
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+ The final fine tuning of the training loop resulted in the following losses.
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+ epoch train_loss valid_loss error_rate time
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+ 0 0.494005 0.078781 0.017094 00:05
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+ epoch train_loss valid_loss error_rate time
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+ 0 0.089555 0.031788 0.025641 00:04
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+ 1 0.045144 0.097199 0.017094 00:03
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+ 2 0.033626 0.106634 0.017094 00:03
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+
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+ ## Examples
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+
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+ The example images provided in the demo are not from the dataset. They were quickly sourced via a couple of DuckDuckGo searches.