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.

Note: This is a short talk. Short talks are 10-minute talks designed to offer breadth across the areas of machine learning, artificial intelligence, and data engineering. The short talks are focused on the tools and practices of data science with an eye towards the software engineer.

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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  • Deep Learning Applications & Practices

    Deep learning lessons using tooling such as Tensorflow & PyTorch, across domains like large-scale cloud-native apps and fintech, and tacking concerns around interpretability of ML models.

  • Predictive Data Pipelines & Architectures

    Best practices for building real-world data pipelines doing interesting things like predictions, recommender systems, fraud prevention, ranking systems, and more.

  • 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

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.