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