gatv2 docs

Author: vpj

docs/distillation/readme.html

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-                <h1><a href="(https://nn.labml.ai/distillation/index.html)">Distilling the Knowledge in a Neural Network</a></h1>
+                <h1><a href="https://nn.labml.ai/distillation/index.html">Distilling the Knowledge in a Neural Network</a></h1>
 <p>This is a <a href="https://pytorch.org">PyTorch</a> implementation/tutorial of the paper
 <a href="https://papers.labml.ai/paper/1503.02531">Distilling the Knowledge in a Neural Network</a>.</p>
 <p>It&rsquo;s a way of training a small network using the knowledge in a trained larger network;

docs/graphs/gatv2/experiment.html

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                 <h1>Train a Graph Attention Network v2 (GATv2) on Cora dataset</h1>
-<p><a href="https://app.labml.ai/run/8e27ad82ed2611ebabb691fb2028a868"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen" /></a></p>
+<p><a href="https://app.labml.ai/run/34b1e2f6ed6f11ebb860997901a2d1e3"><img alt="View Run" src="https://img.shields.io/badge/labml-experiment-brightgreen" /></a></p>
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                 <div class="highlight"><pre><span class="lineno">13</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Dict</span>
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                 <p>Dropout probability</p>
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-                <div class="highlight"><pre><span class="lineno">181</span>    <span class="n">dropout</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.6</span></pre></div>
+                <div class="highlight"><pre><span class="lineno">181</span>    <span class="n">dropout</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.7</span></pre></div>
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