Very simple, you can understand it in 10 minutes
1 Introduction to Tensorloader
It is a visualization tool that needs to be downloaded with pip;
After downloading and displaying, it becomes a service that can be accessed by entering the IP address through the browser;
it is not only applicable to tensorflow, but also to pytorch.
Pictures, text, models, histograms, line charts, etc. can be displayed.
When running the model in pycharm, you can dynamically observe changes in learning rate, etc.
2 Write and run (2 steps in total)
3 image display
3.1 Display pictures
3.2 Display model
3.3 Dynamically display learning rate, etc.
references
[1] Teacher Riyue Guanghua’s pytorch course has an introduction;
[2] The most comprehensive tutorial on using TensorBoard: just read this article - Tencent Cloud Developer Community - Tencent Cloud