<h1 id="practical-deep-learning-for-coders">Practical Deep Learning for Coders<a aria-hidden="true" class="anchor-heading icon-link" href="#practical-deep-learning-for-coders"></a></h1>
<p><a href="https://course.fast.ai">https://course.fast.ai</a></p>
<hr>
<strong>Children</strong>
<ol>
<li><a href="/notes/aape7dhzwahxzd51op95nlt">Lesson 1</a></li>
<li><a href="/notes/hndgahatd7bwhgshqjamhkt">Lesson 2</a></li>
<li><a href="/notes/bvodfngpoi90l3r87yhuy9j">Lesson 3</a></li>
<li><a href="/notes/o39bxb71h0kuvqx0tvdxkpz">Lesson 4</a></li>
<li><a href="/notes/m63h4dr289k6d45hcitn91t">Lesson 6</a></li>
<li><a href="/notes/ljq7kkmqkmnwu4e0fkfpate">Pet Breeds</a></li>
</ol>
<hr>
<strong>Backlinks</strong>
<ul>
<li><a href="/notes/qvk3fygz1m6ws2fji5retj1">Machine Learning</a></li>
<li><a href="/notes/25ntdwp8c7qtkh78vqepike">Practical Deep Learning for Coders</a></li>
</ul>

Practical Deep Learning for Coders


Hi! I'm Param! This is a place for my personal notes.

My website is https://param.codes, and I write more readable
stuff on my substack: https://newsletter.param.codes.

I've found that taking notes helps me remember things, and it's nice
to look back on information that you processed years ago. I jot down random things, there's no real structure, but some of these
notes could eventually become blog posts.

Some notes you might find interesting:

- [[history.laphams_quarterly.democracy.campaign_finance]]
- [[engineering.being_a_mentor]]
- [[history.china.dynasties]]
- [[history.india.indira_gandhi]]

I also keep notes on books I read [[here|books]].

This is built using [[Dendron|engineering.dendron]] and hosted using
[GitHub Pages](https://github.com/paramsingh/notes).

Get in touch via [Twitter](https://twitter.com/iliekcomputers) or email me at `me [at] param [dot] codes`!
