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Fix typo #3

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Fix typo #3

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -28,7 +28,7 @@ relevant to this dataset as well. Hence, the best idea might be to train a linea
overfit if we were to try to fine-tune through the full network.

 New dataset is small but very different from the original dataset. Since the data is small, it is likely best to only train a
linear classifier. Since the dataset is very different, it might not be best to train the classifier form the top of the network,
linear classifier. Since the dataset is very different, it might not be best to train the classifier from the top of the network,
which contains more dataset-specific features. Instead, it might work better to train the SVM classifier from activations somewhere
earlier in the network.

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