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minor typo: instance norm -> group norm
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@ -15,6 +15,6 @@ This is based on the observation that classical features such as
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The paper proposes dividing feature channels into groups and then separately normalizing
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all channels within each group.
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Here's a [CIFAR 10 classification model](https://nn.labml.ai/normalization/group_norm/experiment.html) that uses instance normalization.
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Here's a [CIFAR 10 classification model](https://nn.labml.ai/normalization/group_norm/experiment.html) that uses group normalization.
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[](https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/normalization/group_norm/experiment.ipynb)
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