<story><title>Practical Deep Learning for Coders</title><url>https://course.fast.ai/index.html</url></story><parent_chain><item><author>monadmancer</author><text>The lessons look interesting from a high level perspective. And I think could help people guide their applications.&lt;p&gt;I think there&amp;#x27;s also a need for a very low level course in deep learning. I.e. on the level of someone who wishes to write their own deep learning library. Because from high up, sure it all looks like the chain rule, but down low, it gets messy quickly if you want to write a high performance library on your own.</text></item></parent_chain><comment><author>Datenstrom</author><text>If you want to take a look at a framework that isn&amp;#x27;t a terrible mess and that one person can understand both Darknet [1] and Flux [2] are really nice. Learned a lot from reading their source.&lt;p&gt;[1]: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;pjreddie&amp;#x2F;darknet&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;pjreddie&amp;#x2F;darknet&amp;#x2F;&lt;/a&gt;&lt;p&gt;[2]: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;FluxML&amp;#x2F;Flux.jl&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;FluxML&amp;#x2F;Flux.jl&lt;/a&gt;</text></comment>
<story><title>Practical Deep Learning for Coders</title><url>https://course.fast.ai/index.html</url></story><parent_chain><item><author>monadmancer</author><text>The lessons look interesting from a high level perspective. And I think could help people guide their applications.&lt;p&gt;I think there&amp;#x27;s also a need for a very low level course in deep learning. I.e. on the level of someone who wishes to write their own deep learning library. Because from high up, sure it all looks like the chain rule, but down low, it gets messy quickly if you want to write a high performance library on your own.</text></item></parent_chain><comment><author>yeldarb</author><text>Part 2 of this course, which will be released later this month, is a step by step walkthrough of building the FastAI and PyTorch libraries from scratch (minus autodiff).</text></comment>