A constantly updated course that explores and teaches the latest in Deep Learning studies.
Course description:
“Deep Networks have revolutionized computer vision, language technology, robotics and control. They have a growing impact in many other areas of science and engineering, and increasingly, on commerce and society. They do not however, follow any currently known compact set of theoretical principles.
In Yann Lecun’s words they require “an interplay between intuitive insights, theoretical modeling, practical implementations, empirical studies, and scientific analyses.” This is a fancy way of saying “we don’t understand this stuff nearly well enough, but we have no choice but to muddle through anyway.”
This course attempts to cover that ground and show you how to muddle through even as we aspire to do more.”