Dive deep into TensorBoard and the tf.summary API with Nick Felt, an Engineer on the TensorFlow team, in this 43-minute technical session. Explore how TensorBoard and the tf.summary API work together to visualize data, covering API changes, log directories, event files, and best practices. Learn about TensorBoard's frontend, summary data format, event file structure, individual records, summary submessages, and downsampling techniques. Gain insights into the internal workings of TensorFlow's visualization toolkit and discover how to effectively use these tools to enhance your machine learning projects.
Overview
Syllabus
Introduction
TensorBoard
Frontend
Summary API
Summary API from TensorFlow
Summary API in TensorFlow 20
Summary Data Format
Event File
Individual Records
Summary Submessage
Downsampling
Best practices
Wrap up
Taught by
TensorFlow
