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Thursday, April 11 • 4:05pm - 4:20pm
Machine Learning on Mobile

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This talk will cover the ways to approach machine learning on mobile devices. I am going to compare cloud-based and on-device inference, focusing more on the latter. Local (on-device) machine learning means that inference is happening directly on a mobile device, giving us the benefit of keeping the user's data private and not depending on the network connection. However the ML models should be prepared and optimized for efficiency and performance. I will do an overview of different ML frameworks that work on iOS and Android, namely: CoreML, MLKit, and TensorFlow Lite. The attendees will understand the capabilities and limitations of each of these frameworks, and will have a general idea of how ML models should be prepared for deployment on mobile.

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Tatyana Casino

Platform Software Engineer, WillowTree
Tatyana Casino is a software engineer at WillowTree, a mobile innovation agency. Tatyana has been building mobile apps for a variety of leading brands and clients. She has been developing for Android for 5 years, has done cross-platform development with Xamarin and worked on native... Read More →


Thursday April 11, 2019 4:05pm - 4:20pm EDT
Violet Crown: Theater 4 200 W Main St, Charlottesville, VA 22902, USA