In Deep Learning models Keras callbacks functions can play a very significant role. The training of such models can take even days to complete so we should have some function to monitor and control our model. Suppose, if the model is getting overfitted we can stop the training or if we have reached at least loss and for next epoch, it gets increased we can again stop the training. Sometimes due to much complexity in deep learning models, they often get crashed and the training gets stopped. Consider you have already trained it for 3 days and all the training gets wasted.

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Tutorial On Keras CallBacks, ModelCheckpoint and EarlyStopping in Deep Learning
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