Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Karmel Allison

Karmel Allison
Engineering Manager, 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.

Sessions

1:45pm-2:25pm Friday, September 7, 2018
Ready, set, go: Using TensorFlow to prototype, train, and productionalize your models (sponsored by Google)
Sponsored, TensorFlow at AI
 Location: Continental 6
Karmel Allison (Google)
Average rating: *****
(5.00, 1 rating)
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. Read more.