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Presentation: Tensorflow Jumpstart

Track: Deep Learning Applications & Practices

Location: Cyril Magnin I

Duration: 10:35am - 10:45am

Day of week: Wednesday

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Abstract

Join this session to get started with TensorFlow in the most efficient way. We'll give an overview of the different products & APIs and the best practice.

Speaker: Magnus Hyttsten

TensorFlow Developer Advocate @Google

Magnus Hyttsten is a Developer Advocate for TensorFlow @ Google. He works on developing the TensorFlow product, is a developer fanatic, and an appreciated speaker at major industry events such as Google I/O, The AI Summit, AI Conference, ODSC, GTC, QCon, and others on machine learning and mobile development . Right now, he is focusing on Reinforcement Learning models, as well as making model inference effective on Mobile.

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2019 Tracks

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    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

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  • Handling Sequential Data Like an Expert / ML Applied to Operations

    Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

    Half-day tracks