Chapter 7. Visualizing data and models

This chapter covers

  • How to use tfjs-vis to perform custom data visualization
  • How to peek at the internal workings of models after they are trained and gain useful insights

Visualization is an important skill for machine-learning practitioners because it is involved in every phase of the machine-learning workflow. Before we build models, we examine our data by visualizing it; during model engineering and training, we monitor the training process through visualization; after the model is trained, we use visualization to get a sense about how it works.

In chapter 6, you learned the benefits of visualizing and understanding data before applying machine learning on it. We described how to use Facets, a browser-based ...

Get Deep Learning with JavaScript now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.