In this post we will explore how exploding and vanishing gradients may happen, and how normalization and a change of activation functions can help us deal with these issues.

Let's kick start your journey into reinforcement learning with a cool taxi-driving simulation! You'll get hands-on with Q-learning, starting from random exploration all the way to nailing it. Plus,...

A dissection of a system built for failure through the lens of an interview