Deep learning returned to the headlines in 2016 when Google’s AlphaGo program crushed Lee Sedol, one of the highest-ranking Go players in the world. But what is it?
This guidebook unpacks some of its nuances and intricacies, including an in-depth but accessible explanation of deep learning and how it works (illustrated for non-technical readers).
An advanced definition of deep learning concepts, including neurons, neural networks, and gradient descent
An in-depth look at the most popular type of neural networks, Convolutional Neural Networks — CNN (used for image detection)
Specific, real-life examples of deep learning in action and high-level use cases by industry