How to add Earlystopper in Classifier Model
Early stopping can be achieved with Keras callbacks.
early_stop= tf.keras.callbacks.EarlyStopping(monitor='loss', patience=3)

history = model.fit(X, y, callbacks=[early_stop])

patience: Number of epochs with no improvement after which training will be stopped.
To define the meaning of &quot;significant learning stopping&quot;, you will have to try with the parameters of Callback. e.g.
monitor=&quot;val_loss&quot;,  min_delta=0, patience=0, mode=&quot;auto&quot;, baseline=None, etc.
Keras_API