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

Ready, set, go: Using TensorFlow to prototype, train, and productionalize your models (sponsored by Google)

Karmel Allison (Google)
1:45pm-2:25pm Friday, September 7, 2018
Sponsored, TensorFlow at AI
 Location: Continental 6
Average rating: *****
(5.00, 1 rating)
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Building machine learning models is a multistage process. TensorFlow’s high-level APIs make this process smooth and easy, whether you’re starting small or going big. Karmel Allison walks you through a practical example of building, training, and debugging a model and then exporting it for serving using these APIs.

This session is sponsored by Google.

Photo of Karmel Allison

Karmel Allison

Google

Karmel Allison is an engineering manager at Google, where she leads a team of engineers working to make TensorFlow high-level APIs easy to use and flawless to scale. Karmel has over 10 years of experience in software development and machine learning. Previously, she led engineering teams building a DNA sequencer at Genia and serving real-time recommendations at Quora. She holds a PhD in bioinformatics from the University of California, San Diego.