These are exciting times for developments in mainstream artificial intelligence (AI). Self-driving cars are hitting the streets, companies like Microsoft, Apple and Google are integrating evergrowing "intelligence" into their services, and some of them making their cutting-edge AI tools available to the public. While AI as a term is familiar to the industry, deep learning is what's been in the limelight lately. Like numerous other techniques, deep learning is a subset of machine learning, which in turn falls under the much broader umbrella of AI, all of whose broad goals are to make computers do things outside of the box of precise programmed instructions. The idea itself is decades old, but resurgence in research and sheer advances in raw computational power over the last decade have made deep learning an attractive computational tool.