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Bayesian Deep Learning

Mar 20, 2019 · Arlington, United States of America

Talk:
Neural networks have become a popular choice in machine learning for modeling high dimensional, complex data generating processes. However, neural networks are black box models that come with significant barriers to explainability. One answer to this dilemma is to use Bayesian approaches to avoid potential issues with overfitting and measure model uncertainties. We will explore the theory behind Bayesian neural networks as well as the latest methods for fitting them.

Tentative schedule:
- Introduction (5 min)
- Talk (~1 hr)
- Questions (5 min)
- Mingling (10 min)

Location: U Group
Address: 2231 Crystal Dr #401 · Arlington, VA
Floor: 4th
Parking: Free in the evening after 4pm at 2231 Crystal Drive the garage is below the building. Green Section.

Sponsor: U.Group

Event organizers
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    Are you a busy professional that simply doesn't have time to keep up with all the advances in deep learning? Or unsure of which areas to focus on in the deep learning landscape? Perhaps you've tried reading some of the more recent Deep Learning papers and implementing online code only to find yourself staring at a screen for hours. Then this is the place for you, welcome to the group! We're excited to bring you the latest and greatest in Deep Learning. What is Deep Learning Dojo? Deep Learning Dojo V2 (sta

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