I have been using Keras/TF's CSVLogger in order to save the training and validation accuracies. Then I was plotting those data to check the trajectory of training and validation accuracy or loss.
Yesterday, I read this link.
Here, they used model.evaluate() to plot the accuracy metric.
What is the difference between these two approaches?
from What is the difference between CSVLogger and model.evaluate()?
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