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📚 group norm links

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Varuna Jayasiri
2021-04-24 15:08:28 +05:30
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docs/normalization/group_norm/index.html
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@ -133,8 +133,8 @@ $m$ is the size of the set $\mathcal{S}_i$ which is same for all $i$.</p>
<p>Group normalization normalizes values of the same sample and the same group of channels together.</p>
<p>Here&rsquo;s a <a href="experiment.html">CIFAR 10 classification model</a> that uses instance normalization.</p>
<p><a href="https://colab.research.google.com/github/lab-ml/nn/blob/master/labml_nn/normalization/group_norm/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></a>
<a href="https://app.labml.ai/run/011254fe647011ebbb8e0242ac1c0002"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen" /></a>
<a href="https://app.labml.ai/run/011254fe647011ebbb8e0242ac1c0002"><img alt="WandB" src="https://img.shields.io/badge/wandb-run-yellow" /></a></p>
<a href="https://app.labml.ai/run/081d950aa4e011eb8f9f0242ac1c0002"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen" /></a>
<a href="https://wandb.ai/vpj/cifar10/runs/310etthp"><img alt="WandB" src="https://img.shields.io/badge/wandb-run-yellow" /></a></p>
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<div class="highlight"><pre><span class="lineno">87</span><span></span><span class="kn">import</span> <span class="nn">torch</span>