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    Multi-framework modeling with KerasCV and KerasNLP

    Weights and Biases with Keras Core
    Sep 13, 10am PT

    What to expect?

    In this talk we will demonstrate how to use the Keras domain packages KerasCV and KerasNLP to build production-grade applied ML workflows. Both packages are based on the new Keras Core library, which automatically brings multi-backend support for TensorFlow, JAX, and PyTorch to all your workflows in KerasCV and KerasNLP. We'll show you how to combine components from your favorite backend-specific package with multi-backend Keras, as well as how to easily train your Keras models on TPUs with JAX.

    Register Now

    Our Speakers

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    AT
    Ayush Thakur
    ML Engineer
    Weights & Biases
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    SR
    Soumik Rakshit
    ML Engineer
    Weights & Biases
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    IS
    Ian Stenbit
    Software Engineer
    Google
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    MW
    Matthew Watson
    Software Engineer
    Google
Looking for your ticket? Contact the organizer
Looking for your ticket? Contact the organizer