</iframe>
</div>
-This tutorial is intended to get you started with simple TensorBoard usage.
-There are other resources available as well! The [TensorBoard's GitHub](https://github.com/tensorflow/tensorboard)
-has a lot more information on TensorBoard usage, including tips & tricks, and
-debugging information.
+This 30-minute tutorial is intended to get you started with simple TensorBoard
+usage. It assumes a basic understanding of TensorFlow.
+
+There are other resources available as well! The [TensorBoard GitHub](https://github.com/tensorflow/tensorboard)
+has a lot more information on using individual dashboards within TensorBoard
+including tips & tricks and debugging information.
+
+## Setup
+
+[Install TensorFlow](https://www.tensorflow.org/install/). Installing TensorFlow
+via pip should also automatically install TensorBoard.
## Serializing the data
For in depth information on how to use the *graph* tab to visualize your graph,
see @{$graph_viz$TensorBoard: Graph Visualization}.
-For more usage information on TensorBoard in general, see the [TensorBoard's GitHub](https://github.com/tensorflow/tensorboard).
+For more usage information on TensorBoard in general, see the
+[TensorBoard GitHub](https://github.com/tensorflow/tensorboard).