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Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Danielle Dean

Danielle Dean
Technical Director, Machine Learning, iRobot

Website | @danielleodean

Danielle Dean is the technical director of machine learning at iRobot. Previously, she was a principal data science lead at Microsoft. She holds a PhD in quantitative psychology from the University of North Carolina at Chapel Hill.

Sessions

11:05am-11:45am Thursday, September 6, 2018
How to use transfer learning to bootstrap image classification and question answering (QA)
Models and Methods
 Location: Yosemite BC
Secondary topics:  Computer Vision, Deep Learning models
Wee Hyong Tok (Microsoft), Danielle Dean (iRobot)
Average rating: ***..
(3.33, 3 ratings)
Transfer learning enables you to use pretrained deep neural networks and adapt them for various deep learning tasks (e.g., image classification, question answering, and more). Join Wee Hyong Tok and Danielle Dean to learn the secrets of transfer learning and discover how to customize these pretrained models for your own use cases. Read more.