What is the difference between CSVLogger and model.evaluate()?

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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?



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