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.
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.
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