Keras_EarlyStopping.py

from keras.callbacks import EarlyStopping, ModelCheckpoint, ReduceLROnPlateau

reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.2, patience=3, min_lr=0.000001,verbose=1)
checkpointer = ModelCheckpoint(filepath='checkpoint.hdf5', verbose=1, save_best_only=True)
early_stopping = EarlyStopping(patience=10, verbose=1)

history = model.fit(x_train, y_train, 
                    epochs=300, 
                    batch_size=32,
                    verbose=1,
                    validation_split=0.1,
                    callbacks=[reduce_lr, early_stopping, checkpointer])

model.load_weights('checkpoint.hdf5')
pred = model.predict(x_test)