Beyond Deep Neural Networks




Beyond Deep Neural Networks

9 January 2019

New York

Added 01-Jan-1970

How to make deep learning deal with the uncertainties of the real world? The answer is in deep Bayesian networks. We will be discussing Bayes' theorem and it's surprisingly effective role in helping deep learning models deal with uncertainties.

Who is the target audience?

Participants interested in understanding the current trends in deep-learning and in Bayesian networks.

Why this topic?

One of the real world adoption issues with deep neural networks is their inability to properly quantify and address uncertainties. Bayesian approach towards deep learning is a promising solution to this challenge.