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Presentation: Deep Learning on Microcontrollers

Track: AI Meets the Physical World

Location: Cyril Magnin II

Duration: 9:00am - 9:40am

Day of week: Wednesday

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Abstract

Learn why deep learning is a great fit for tiny, cheap devices, what you can build with it, and how to get started.

Speaker: Pete Warden

Technical Lead of TensorFlow Mobile @Google

Pete is technical lead on the mobile and embedded side of TensorFlow, and was previously CTO of Jetpac, acquired by Google in 2014.

Find Pete Warden at

2019 Tracks

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.