TensorBoard
This guide explains how to use TensorBoard within Gradient Notebooks
Last updated
This guide explains how to use TensorBoard within Gradient Notebooks
Last updated
TensorBoard is a from TensorFlow. It is useful for a variety of applications including visualizing metrics and histograms, displaying images, and more.
To get started with TensorBoard, we'll need to run a command in the terminal and then access a special URL.
To run TensorBoard in a notebook, first make sure that the notebook has TensorBoard installed.
If needed, the --logdir path may be changed to a different value.
The TensorBoard is now available at the following URL:
NOTEBOOKID may be found on the notebook list view in the Gradient console.
The default CLUSTERID value is clg07azjl. Private clusters will have a CLUSTERID on the clusters page.
Next, open a notebook and run the following command:
