Deep Learning 101 - Part 1: History and Background

The Deep Learning 101 series is a companion piece to a talk given as part of the Department of Biomedical Informatics @ Harvard Medical School'Open Insights' series. Each post in this series is a collection of explanations, references and pointers meant to help someone new to the field quickly bootstrap their knowledge of key events, people, and terms in deep learning. In the same way that neural nets use a distributed representation to process data, reference materials for deep learning are scattered across the far flung corners of the internet and embedded in the dark ether of social media. The hope is that coalescing at least some of these materials into a central location will make it easier for new comers to start their own walk over this knowledge graph. This collection is intentionally peppered with trivia and articles from the popular press that are relevant to deep learning to keep things interesting and to provide context.