model_fit_generator.py

# Epochs
epochs = 25
# Batch size
batch_size = 32

history = model.fit(train_datagen.flow(x_train,y_train,
                                       batch_size=batch_size, 
                                       seed=27,
                                       shuffle=False),
                    epochs=epochs,
                    steps_per_epoch=x_train.shape[0] // batch_size,
                    validation_data=(x_test,y_test),
                    verbose=1)