In this presentation, we will introduce neural networks, and we will take it slowly. We first describe the process of learning machine learning. We will then go into the tools typically involved with machine learning and neural networks. The core of this presentation is taking small steps to achieve a big goal: an understanding of a neural network. What is a neuron? What is a tensor? What are weights? What are biases? What is backpropagation? Why do the networks have such funny shapes? ML and AI are here to stay; let's start embarking on this frontier.