Two inputs, two outputs.

Eventually comes a day when a random forest won’t cut it. You need to classify images into categories, and the preprocessing alone is killing you. Neural networks to the rescue!

In this tutorial, we’ll start from the most basic of neural networks so you gain a foundation of what they are, how their layers works, and how they can be assembled with multiple inputs and outputs. We’ll build our networks and train them to classify some prepared data.