Hey all, here are your tasks for the week commencing 5/11/2018:

  • Read pages 60 - 79 of Deep Learning. This finishes the chapter on probability and information theory 🎉
  • Leave at least one comment below, e.g., a question about something you don't understand or a link to a resource that you found helpful relating to this weeks content.
  • For bonus activity this week, have a go at working through this PyMC3 tutorial. It'll give you a bit more insight into some of the Bayesian approaches that are touched on by Goodfellow and graphical models.

As always, if you're feeling lost mention it in the comments and ask for help!

Enjoy 🍻