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Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Wee Hyong Tok

Wee Hyong Tok
Principal Data Science Manager, Microsoft

Website | @weehyong

Wee Hyong Tok is a principal data science manager with the AI CTO Office at Microsoft, where he leads the engineering and data science team for the AI for Earth program. Wee Hyong has worn many hats in his career, including developer, program and product manager, data scientist, researcher, and strategist, and his track record of leading successful engineering and data science teams has given him unique superpowers to be a trusted AI advisor to customers. Wee Hyong coauthored several books on artificial intelligence, including Predictive Analytics Using Azure Machine Learning and Doing Data Science with SQL Server. Wee Hyong holds a PhD in computer science from the National University of Singapore.


11:05am-11:45am Thursday, September 6, 2018
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.