# TensorBoard

TensorBoard provides the visualization and tooling needed for machine learning experimentation:

* Tracking and visualizing metrics such as loss and accuracy
* Visualizing the model graph (ops and layers)
* Viewing histograms of weights, biases, or other tensors as they change over time
* Projecting embeddings to a lower dimensional space
* Displaying images, text, and audio data
* Profiling TensorFlow programs
* And much more

<figure><img src="https://1703512193-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FHyQ97PzHJLIjjc4Xnm9y%2Fuploads%2F49RsDbLewdz2wZpk9WiF%2Ftensorboard.gif?alt=media&#x26;token=c6363370-dd54-4248-8725-f821ff862c16" alt=""><figcaption></figcaption></figure>

you can start tensorboard on this [link](https://www.tensorflow.org/tensorboard/get_started)