Iterative development is a crucial part of the machine learning workflow. For embedded ML developers working to maximize the performance and efficiency of their deep learning models, this commonly involves training multiple models in order to test different hyperparameter values side-by-side.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/now-live-block-versioning