Vertex AI TensorBoard custom training with prebuilt container: Notebook
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In this tutorial, you learn how to create a custom training job using prebuilt
containers, and monitor your training process on Vertex AI TensorBoard
in near real time.
This tutorial uses the following Google Cloud ML services and resources:
Vertex AI training
Vertex AI TensorBoard
The steps performed include:
Set up a service account and Cloud Storage buckets.
Write your customized training code.
Package and upload your training code to Cloud Storage.
Create and launch your custom training job with Vertex AI TensorBoard enabled for near
real time monitoring.
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