Overview
This course provides an inside look into TensorBoard and the tf.summary API within TensorFlow. By the end of the course, learners will understand how TensorBoard and the tf.summary API collaborate to visualize data, including knowledge of API changes, log directories, event files, and best practices. The course teaches skills such as utilizing TensorBoard, working with the Summary API, understanding the Summary Data Format, and implementing best practices. The teaching method involves technical deep dives by TensorFlow engineers. This course is intended for individuals interested in deepening their understanding of TensorFlow's visualization toolkit and enhancing their data visualization skills within the TensorFlow framework.
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