From speech recognition to self-driving cars, artificial intelligence (AI) has gone from science fiction to a significant part of our lives in less than a decade.
A growing number of state-of-the-art AI systems are powered by Deep Learning, a form of machine learning inspired by the human brain to solve challenging problems in computer vision, speech recognition and language processing. Deep Learning techniques are rapidly becoming one of the most effective tools for developing intelligent phones, cars, and other smart things such as thermostats and appliances.
Siebel Scholar Ellick Chan discovered Deep Learning as a post-doc at Stanford and now he’s committed to teaching the tool to teachers, musicians, doctors and others who wouldn’t normally have access to the engineering or computer science background to pursue it. Chan recently delivered a tutorial on Deep Learning to industry partners at Northwestern’s analytics exchange.
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