Vertex AI TensorBoard hyperparameter tuning with the HParams dashboard: Notebook

In this notebook, you train a model and perform hyperparameter tuning using TensorFlow. You also log the hyperparameters and metrics in Vertex AI TensorBoard.

Notebook: Vertex AI TensorBoard hyperparameter tuning with the HParams dashboard

To see an example of hyperparameter tuning using TensorFlow, run the "Vertex AI TensorBoard hyperparameter tuning with the HParams dashboard" Jupyter notebook in one of the following environments:

Open in Colab | Open in Colab Enterprise | Open in Vertex AI Workbench user-managed notebooks | View on GitHub

This tutorial uses the following Vertex AI services and resources:

• Vertex AI TensorBoard
• Vertex AI Experiments

The steps performed include:

• Adapt TensorFlow runs to log hyperparameters and metrics.
• Start runs and log them all under one parent directory.
• Visualize the results in TensorBoard's HParams dashboard.

Relevant content

• Vertex AI TensorBoard