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Competition Launch: GAN Getting Started on TPUs

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kaggle.com

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noreply@kaggle.com

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Wed, Sep 2, 2020 05:10 PM

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Hi {NAME}, For centuries, we’ve relied on experts to spot art forgeries. With advances in compu

Hi {NAME}, For centuries, we’ve relied on experts to spot art forgeries. With advances in computer vision, algorithms can separate the fakes from the authentic. But machines can also learn to imitate an artist’s style. In our newest getting started competition, you will use generative adversarial networks (GANs) to mimic the works of Claude Monet. Follow our included [tutorial]( to bring his style to an existing photo or create new Monets from scratch. This Getting Started competition will be ongoing and live for anyone to participate at any time. But [TPU Star Awards]( for extra TPU quota are only open for self-nomination until October 31, 2020! Put some art into (data) science, improve your knowledge of GANs, and try to trick classifiers into believing you’ve created a true Monet! [Join the Competition]( Thanks and good luck, Phil Culliton Kaggle Data Scientist Kaggle, Inc 1600 Amphitheatre Pkwy Mountain View, CA 94043 This email was sent to {EMAIL} because you indicated that you'd like to receive news and updates about Kaggle. If you don't want to receive these emails in the future, please [unsubscribe here](. You can also change your preferences on your account's profile page by logging in at [kaggle.com](.

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