In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics like loss and accuracy, visualizing the model graph, projecting embeddings to a lower dimensional space, and much more. This quickstart will show how to quickly
![TensorBoard: Embedding Visualization](https://cdn-ak-scissors.b.st-hatena.com/image/square/442b7732472e13e6a5c0cc689a85eeb203bef99a/height=288;version=1;width=512/https%3A%2F%2Fwww.tensorflow.org%2Fstatic%2Fsite-assets%2Fimages%2Fproject-logos%2Ftensorboard-logo-social.png)