Vertex AI TensorBoard custom training with custom container: Notebook

In this tutorial, you learn how to create a custom training job using custom containers, and monitor your training process on Vertex AI TensorBoard in near real time.

Notebook: Create custom training jobs using custom containers

This tutorial uses the following Google Cloud ML services and resources:

• Vertex AI training
• Vertex AI TensorBoard

The steps performed include:

• Create a Docker repository and config.
• Create a custom container image with your customized training code.
• Set up a service account and Cloud Storage buckets.
• Create and launch your custom training job with your custom container.

Relevant content

• Vertex AI TensorBoard
• Custom training