# TensorBoard ## Introduction to TensorBoard TensorBoard is a [visualization toolkit](https://www.tensorflow.org/tensorboard/) from TensorFlow. It is useful for a variety of applications including visualizing metrics and histograms, displaying images, and more. ![Example TensorBoard](https://s3-ap-southeast-1.amazonaws.com/blob.blankcursor.com/uploads/editor_attachment/attachment/5650/792a03f09ffcf0db65f4f6fccfe20e561571de8d_2_1117x586.png) To get started with TensorBoard, we'll need to run a command in the terminal and then access a special URL. ## How to configure a TensorBoard in Gradient Notebooks To run TensorBoard in a notebook, first make sure that the notebook has TensorBoard installed. Next, open a notebook [terminal](https://paperspace.gitbook.io/gradient/explore-train-deploy/notebooks/notebook-terminals) and run the following command: ``` tensorboard --logdir . --bind_all ``` If needed, the `--logdir` path may be changed to a different value. The TensorBoard is now available at the following URL: ``` https://tensorboard-NOTEBOOKID.CLUSTERID.paperspacegradient.com ``` `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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://paperspace.gitbook.io/gradient/explore-train-deploy/notebooks/notebook-tensorboards.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.