Introduction to Deep Learning

This training covers how these systems work, what makes them so powerful, and how they are trained to accomplish these tasks. There's a lot of math behind deep learning, but this training keeps things accessible and conceptual. Formulas and diagrams will be presented, but the goal is to make it all as intuitive as possible.

Deep learning is a branch of machine learning that uses neural networks, computer systems loosely inspired by the human brain. These networks are made up of layers of connected nodes, called neurons, which process information.

In popular media it is said that neural networks learn just like the human brain, but in reality the similarity is quite superficial. A neural network is basically a huge matrix, a big bag of numbers. Information flows between parts of the network just as neurons in the brain transmit signals, but in a neural network it is simply numbers multiplied, added, and transformed in various ways.