As Artificial Intelligence and Machine Learning continue to evolve, the things they can do are becoming breathtaking. None of these tools capture the imagination more than Neural Networks. However, as our libraries become more robust, few people really understand what's going on behind the scenes.

The inner workings of Neural Networks are surprisingly simple. While there may be a lot of math, it's not really hard math. To prove this, we're going in write and train a Neural Network, from scratch, live, in the session. Of course, I'll explain everything along the way.