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Varuna Jayasiri
2021-08-08 08:32:39 +05:30
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@ -133,7 +133,7 @@ to minimize above formula.</p>
while keeping $K$ bounded. <em>One way to keep $K$ bounded is to clip all weights in the neural
network that defines $f$ clipped within a range.</em></p>
<p>Here is the code to try this on a <a href="experiment.html">simple MNIST generation experiment</a>.</p>
<p><a href="https://colab.research.google.com/github/lab-ml/nn/blob/master/labml_nn/gan/wasserstein/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></a></p>
<p><a href="https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/gan/wasserstein/experiment.ipynb"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg" /></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.utils.data</span>