Deep Learning for Coders – Launching Deep Learning Part 2
Part 1 was great.<p>However, the first lesson took a bit of stamina to go through.  Much of it was introducing basic Unix&#x2F;AWS&#x2F;shell&#x2F;Python things I know intimately and have strong opinions and deeply set ways about.   Shell aliases, how to use AWS, what Python distribution to run, running Python from some crazy web tool called notebooks (and not Emacs), etc. felt like I was forced to learn a random selection of randomly flavored tools for no good reason.<p>Yes, it&#x27;s a random selection of tools.  The good reason to bear them is that you&#x27;ll learn how to implement state of the art deep learning solutions for a lot of common problems.<p>So, I ended up viewing the lessons not as &quot;this is how you should do it&quot;, but rather as &quot;here&#x27;s one way to do it&quot;.  And it does get much easier after internalizing the tools in Lesson 1.<p>Just something to keep in mind when branding this as &quot;deep learning for coders&quot;.  Coders have deep opinions about the tools they use :)