Callbacks in TensorFlow -- Customize the Behavior of your Training

In this blog, you'll learn what Keras callback is, when it is called, what it can do and how it can be used. When you train a model, you try to achieve the best accuracy on your training data but whereas it's possible to reach really good accuracy on the training set, what we really want is to train models that generalize well to the testing(unseen) data. In trying to achieve this we often come across the concept of overfitting. Since training data is what the network learns from, we take the measure of accuracy on training data as one of our metrics. But the test data may be very different from the training set.