Tensorboard is the interface used to visualize the graph and other tools to understand, debug, and optimize the model. Tensorboard provides us with a suite of web applications that help us to inspect and understand the TensorFlow runs and graphs. Currently, it provides five types of visualizations: scalars, images, audio, histograms, and graphs.
Tensorboard was created as a way to help us understand the flow of tensors in your model so that we can debug and optimize it. It is generally used for two main purposes:
- Visualizing the Graph
- Writing Summaries to Visualize Learning