In this chapter, we talked about how to install, configure, and use TensorBoard. We talked about how to use TensorBoard to compare models visually by inspecting their loss functions throughout each epoch in TensorBoard's SCALARS section. We then looked at visualizing the network structure using TensorsBoard's GRAPHS section. Finally, we showed you how to use TensorBoard for troubleshooting by looking at histograms.

In the next chapter, we will look how to use Keras and TensorFlow to solve binary classification problems, expanding our deep learning bag of tricks.