# How to Use TensorBoard in Notebooks

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](https://www.tensorflow.org/tensorboard/) 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.

## Configuring a TensorBoard in Notebooks

To run TensorBoard in a notebook, you need to check that the notebook has the TensorBoard installed.

Next, open a notebook [terminal](https://docs.digitalocean.com/products/paperspace/notebooks/how-to/use-terminal/index.html.md) 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:

```
https://tensorboard-NOTEBOOKID.CLUSTERID.paperspacegradient.com
```

You can find the `NOTEBOOKID` on the notebook list view in the Gradient console.

The default `CLUSTERID` value is `clg07azjl`. Private clusters have a `CLUSTERID` on the clusters page.