This presentation teaches John Green Bot how to tell the difference between donuts and bagels using supervised learning.
Supervised learning is the process of learning with training labels, and is the most widely used kind of learning when it comes to AI. It helps with tagging photos on Facebook and filtering spam from your email. We’re going to start small today and show how just a single neuron (or perceptron) is constructed, and explain the differences between precision and recall. Next week, we’ll build our first neural network.