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John Troy

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John Thompson

international data and technology executive · EY

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John Paul Mueller

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Activities & events

Title & Speakers	Event
The Complexity of Learning Neural Networks 2017-10-20 · 15:00 Kyle Polich – host , John Wilmes – mathematics post-doctoral researcher @ Georgia Tech Over the past several years, we have seen many success stories in machine learning brought about by deep learning techniques. While the practical success of deep learning has been phenomenal, the formal guarantees have been lacking. Our current theoretical understanding of the many techniques that are central to the current ongoing big-data revolution is far from being sufficient for rigorous analysis, at best. In this episode of Data Skeptic, our host Kyle Polich welcomes guest John Wilmes, a mathematics post-doctoral researcher at Georgia Tech, to discuss the efficiency of neural network learning through complexity theory. AI/ML	Data Skeptic Listen

Title & Speakers

Event

The Complexity of Learning Neural Networks 2017-10-20 · 15:00

Kyle Polich – host , John Wilmes – mathematics post-doctoral researcher @ Georgia Tech

Over the past several years, we have seen many success stories in machine learning brought about by deep learning techniques. While the practical success of deep learning has been phenomenal, the formal guarantees have been lacking. Our current theoretical understanding of the many techniques that are central to the current ongoing big-data revolution is far from being sufficient for rigorous analysis, at best. In this episode of Data Skeptic, our host Kyle Polich welcomes guest John Wilmes, a mathematics post-doctoral researcher at Georgia Tech, to discuss the efficiency of neural network learning through complexity theory.

AI/ML

Data Skeptic

Listen

Showing 1 result