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LightningModule/RequiredTrainerInterface/index.html

@@ -275,6 +275,13 @@
     <label class="md-nav__title" for="__toc">Table of contents</label>
     <ul class="md-nav__list" data-md-scrollfix>
       
+        <li class="md-nav__item">
+  <a href="#minimal-example" title="Minimal example" class="md-nav__link">
+    Minimal example
+  </a>
+  
+</li>
+      
         <li class="md-nav__item">
   <a href="#training_step" title="training_step" class="md-nav__link">
     training_step
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     <label class="md-nav__title" for="__toc">Table of contents</label>
     <ul class="md-nav__list" data-md-scrollfix>
       
+        <li class="md-nav__item">
+  <a href="#minimal-example" title="Minimal example" class="md-nav__link">
+    Minimal example
+  </a>
+  
+</li>
+      
         <li class="md-nav__item">
   <a href="#training_step" title="training_step" class="md-nav__link">
     training_step
@@ -887,7 +901,7 @@
                 <h1 id="lightning-module-interface">Lightning Module interface</h1>
 <p>[<a href="https://github.com/williamFalcon/pytorch-lightning/blob/master/pytorch_lightning/root_module/root_module.py">Github Code</a>]</p>
 <p>A lightning module is a strict superclass of nn.Module, it provides a standard interface for the trainer to interact with the model.</p>
-<p>The easiest thing to do is copy <a href="https://williamfalcon.github.io/pytorch-lightning/LightningModule/RequiredTrainerInterface/#minimal-example">this minimal example</a> and modify accordingly. </p>
+<p>The easiest thing to do is copy the <a href="https://williamfalcon.github.io/pytorch-lightning/LightningModule/RequiredTrainerInterface/#minimal-example">minimal example</a> below and modify accordingly. </p>
 <p>Otherwise, to Define a Lightning Module, implement the following methods:</p>
 <p><strong>Required</strong>:  </p>
 <ul>
@@ -913,7 +927,7 @@
 <li><a href="./#add_model_specific_args">add_model_specific_args</a></li>
 </ul>
 <hr />
-<p><strong>Minimal example</strong></p>
+<h3 id="minimal-example">Minimal example</h3>
 <pre><code class="python">import os
 import torch
 from torch.nn import functional as F