Vertex AI TensorBoard custom training with prebuilt container: Notebook

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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