Tag Archives: Callback

Checkpointing Checkpointing is a way of saving our model after each iteration or when certain conditions are met, f.e. when the model achieves the best performance so far. This is a nice way because when the model starts to oscillate, the model after 10 iterations is not necessarily the best one. Saving the best modelContinue reading “ML Zoomcamp 2023 – Deep Learning – Part 9”