Notebooks are a web-based Jupyter IDE with shared persistent storage for long-term development and inter-notebook collaboration, backed by accelerated compute.
TensorBoard is a visualization toolkit from TensorFlow which is useful for a variety of applications for instance visualizing metrics and histograms, and displaying images.
To get started with TensorBoard, you need to run a command in the terminal and then access a special URL.
To run TensorBoard in a notebook, you need to check that the notebook has the TensorBoard installed.
Next, open a notebook terminal and run the following command:
tensorboard --logdir . --bind_all
If needed, you can change the
--logdir path to a different value.
The TensorBoard is available with the following URL:
You can find the
NOTEBOOKID on the notebook list view in the Gradient console.
CLUSTERID value is
clg07azjl. Private clusters have a
CLUSTERID on the clusters page.