
<p><em>I made this in 2022 to teach myself about RNNs &#x26; word2vec but since I didn't have a blog then, I didn't see the need to keep data, so I'm rerunning it in 2024 (with some slight modifications) for the blog post.</em></p>
<p>After reading <a href="">[1]</a> and <a href="https://arxiv.org/abs/2104.05413">[2]</a> back in 2022, I wanted to try out the problem myself extending what lilian did.</p>
<h1>Recurrence Models</h1>
<ul>
  <li>what are recurrent models</li>
  <li>what is an LSTM?</li>
</ul>
<h1>word2vec</h1>
<ul>
  <li>how does it work</li>
</ul>
<h1>data</h1>
<ul>
  <li>how did you get data</li>
</ul>
<h1>paper trading</h1>
<ul>
  <li></li>
</ul>


<p><em>I made this in 2022 to teach myself about RNNs &#x26; word2vec but since I didn't have a blog then, I didn't see the need to keep data, so I'm rerunning it in 2024 (with some slight modifications) for the blog post.</em></p>
<p>After reading [1] and [2] back in 2022, I wanted to try out the problem myself extending what lilian did.</p>
<h1>Recurrence Models</h1>
<ul>
<li>what are recurrent models</li>
<li>what is an LSTM?</li>
</ul>
<h1>word2vec</h1>
<ul>
<li>how does it work</li>
</ul>
<h1>data</h1>
<ul>
<li>how did you get data</li>
</ul>
<h1>paper trading</h1>
<ul>
<li></li>
</ul>
