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Learn With Me: Troubleshooting and Optimizing for Tensor Processing Units (TPUs) | Kaggle
Oct 20, 2020
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chengmingren1978
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In this video Kaggle Data Scientist Phil Culliton walks us through some of his tips and tricks for troubleshooting and optimizing for TPUs on Kaggle. You can check out Phil's notebook here:
https://www.kaggle.com/philculliton/a-simple-tf-2-1-notebook
Interested in a bump in TPU quota? Submit your stellar TPU notebook to our TPU Stars program to be considered for a 20 hour a week increase (for four weeks!), plus a fast track to the Google Developer Expert program:
https://www.kaggle.com/tpu-prize
Competitions: - Getting Started: Petals to the Metal (ongoing):
https://www.kaggle.com/c/tpu-getting-started
- Lyft Motion Prediction for Autonomous Vehicles (entry deadline November 18th, 2020):
https://www.kaggle.com/c/lyft-motion-prediction-autonomous-vehicles
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About Kaggle: Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data. Stumped? Ask the friendly Kaggle community for help. Follow Kaggle online: Visit the WEBSITE:
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Category: Work Skills
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