Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
Yufeng Guo

Yufeng Guo
Developer Advocate, Google

Website | @YufengG

Yufeng Guo is a developer advocate for the Google Cloud Platform, where he is trying to make machine learning more understandable and usable for all. He enjoys hearing about new and interesting applications of machine learning, so be sure to share your use case with him on Twitter.

Sessions

9:00am12:30pm Tuesday, June 27, 2017
Implementing AI
Location: Murray Hill E/W Level: Advanced
Secondary topics:  Cloud, Deep Learning
Yufeng Guo (Google), Amy Unruh (Google)
Average rating: **...
(2.00, 2 ratings)
Amy Unruh and Yufeng Guo walk you through training and deploying a machine learning system using TensorFlow, a popular open source library. Amy and Yufeng begin by giving an overview of TensorFlow and demonstrating some fun, already-trained TensorFlow models. Then, they show how to build a simple classifier in TensorFlow, before introducing some more complex classifier models. Read more.
4:00pm4:40pm Wednesday, June 28, 2017
Implementing AI
Location: Grand Ballroom West Level: Intermediate
Secondary topics:  Cloud, Deep Learning
Yufeng Guo (Google)
Average rating: ****.
(4.00, 2 ratings)
Moving the heavy lifting of machine learning to the cloud is a great way to get large speed-ups. Yufeng Guo walks you through this process in detail so that you'll be ready to scale your own training and prediction services. Read more.