Training models with custom containers on Cloud AI Platform (AI Adventures)

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 →
Training MNIST with PyTorch →

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product: Cloud AI Platform; fullname: Yufeng Guo;

Duration: 00:04:25
Publisher: Google Cloud
You can watch this video also at the source.