Welcome to Fresh Machine Learning! This is my new course dedicated to making bleeding edge machine learning accessible to developers everywhere. I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ I introduce two papers in this video Human Level Concept Learning through Probabilistic Program Induction: http://web.mit.edu/cocosci/Papers/Sci... and it's associated code is in MatLab: https://github.com/brendenlake/BPL I found a great alternative though, these guys are really close to finishing this python library.

In this video, I explain the basics of recurrent neural networks. Then we code our own RNN in 80 lines of python (plus white-space) that predicts the sum of two binary numbers after training. I just want to start off by saying thank you to every single one of you. Thanks for watching and commenting and sticking with me as I push these videos every week. You guys are the reason I do this...

This episode of Fresh Machine Learning is all about a relatively new concept called a Generative Adversarial Network. A model continuously tries to fool another model, until it can do so with ease. At that point, it can generate novel, authentic looking data! Thanks for watching my videos, I do it for you. I left my awesome job at Twilio and I'm doing this full time now.