Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

University of Central Florida

Quantifying Uncertainties of Deep Neural Networks and Its Applications

University of Central Florida via YouTube

Overview

Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Explore a comprehensive lecture from Samsung researcher Dr. Jae Oh Woo that delves into the critical aspects of uncertainty quantification in deep neural networks and their practical applications. Learn about the methodologies and techniques used to measure and understand the uncertainties inherent in deep learning models, gaining valuable insights into how these uncertainties impact real-world applications. Discover the latest research findings and industry perspectives on managing and interpreting neural network uncertainties, with examples drawn from Samsung's practical implementations.

Syllabus

"Quantifying Uncertainties of Deep Neural Networks and Its Applications" by Dr. Jae Oh Woo, Samsung

Taught by

UCF CRCV

Reviews

Start your review of Quantifying Uncertainties of Deep Neural Networks and Its Applications

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.