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notebooks/chapter_preliminaries/Data Preprocessing.html

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notebooks/chapter_preliminaries/Linear Algebra.html

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notebooks/chapter_preliminaries/Probability and Statistics.html

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notebooks/chapter_recurrent_neural_networks/sequence.html

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-    <title>Working with Sequences &#8212; Dive into Deep Learning - Julia</title>
+    <title>17. Working with Sequences &#8212; Dive into Deep Learning - Julia</title>
 
 
 
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+<li class="toctree-l1 current active"><a class="current reference internal" href="#">17. Working with Sequences</a></li>
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@@ -401,8 +404,8 @@ <h2> Contents </h2>
             </div>
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                 <ul class="visible nav section-nav flex-column">
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#training">Training</a></li>
-<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#wip">WIP</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#training">17.1. Training</a></li>
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#wip">17.2. WIP</a></li>
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@@ -415,9 +418,9 @@ <h2> Contents </h2>
                 <article class="bd-article">
 
   <section class="tex2jax_ignore mathjax_ignore" id="working-with-sequences">
-<h1>Working with Sequences<a class="headerlink" href="#working-with-sequences" title="Link to this heading">#</a></h1>
+<h1><span class="section-number">17. </span>Working with Sequences<a class="headerlink" href="#working-with-sequences" title="Link to this heading">#</a></h1>
 <section id="training">
-<h2>Training<a class="headerlink" href="#training" title="Link to this heading">#</a></h2>
+<h2><span class="section-number">17.1. </span>Training<a class="headerlink" href="#training" title="Link to this heading">#</a></h2>
 <p>Before we focus our attention on text data, let’s first try this out with some continuous-valued synthetic data.</p>
 <p>Here, our 1000 synthetic data will follow the trigonometric sin function, applied to 0.01 times the time step. To make the problem a little more interesting, we corrupt each sample with additive noise. From this sequence we extract training examples, each consisting of features and a label.</p>
 <div class="cell docutils container">
@@ -497,7 +500,7 @@ <h2>Training<a class="headerlink" href="#training" title="Link to this heading">
 </div>
 </section>
 <section id="wip">
-<h2>WIP<a class="headerlink" href="#wip" title="Link to this heading">#</a></h2>
+<h2><span class="section-number">17.2. </span>WIP<a class="headerlink" href="#wip" title="Link to this heading">#</a></h2>
 </section>
 </section>
 
@@ -531,6 +534,15 @@ <h2>WIP<a class="headerlink" href="#wip" title="Link to this heading">#</a></h2>
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@@ -547,8 +559,8 @@ <h2>WIP<a class="headerlink" href="#wip" title="Link to this heading">#</a></h2>
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+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#training">17.1. Training</a></li>
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