TensorBoard is a suite of web applications for visualizing TensorFlow training runs, including scalar metrics, computational graphs, images, and hyperparameter data. It operates entirely offline by reading event files generated during model training via summary writers. Users log data during training and then launch the TensorBoard web server to view interactive visualizations of their model’s behavior.