Training models with custom containers on Cloud AI Platform
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Опубликовано 26 марта 2020, 23:00
In this episode of AI Adventures, Yufeng Guo uses AI Platform Custom Containers to show you how to run custom training jobs on Google Cloud using Docker containers. Specifically, he speaks to the key benefits of using custom containers such as - faster start-up time, ability to use any ML framework, and capacity to use any version of your choice.
Training with custom containers → goo.gle/3cTk7ue
Training MNIST with PyTorch → goo.gle/3cPx4Wb
Check out the rest of the Cloud AI Adventures playlist → goo.gl/UC5usG
Subscribe to get all the episodes as they come out → goo.gl/S0AS51
product: Cloud AI Platform; fullname: Yufeng Guo;
#AIAdventures
Training with custom containers → goo.gle/3cTk7ue
Training MNIST with PyTorch → goo.gle/3cPx4Wb
Check out the rest of the Cloud AI Adventures playlist → goo.gl/UC5usG
Subscribe to get all the episodes as they come out → goo.gl/S0AS51
product: Cloud AI Platform; fullname: Yufeng Guo;
#AIAdventures
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