Content for a microsite dedicated to deep learning.
Deep learning is a family of computational methods that solve
problems that sound intuitive when stated, like recognising a face
in an image, but where it’s hard to explicitly write down all the
steps a computer needs to follow to solve them. These methods work by
allowing computers to learn from experience, whereby they build an
understanding of the world in terms of a hierarchy of increasingly
sophisticated concepts. Deep learning methods have dramatically
improved the state-of-the-art in many application
domains: from voice-based virtual assistants, to
dermatologist-level classification of skin cancer, to self-driving
automobiles.
This repository offers the following:
It is a work in progress. Check back in frequently for updates.
Harish Narayanan, 2017