The trained model can be used either to predict the value with the model.predict() method or to evaluate the model with the model.evaluate() method.
The signatures of both the methods are as follows:
predict(self, x, batch_size=32, verbose=0)
evaluate(self, x, y, batch_size=32, verbose=1, sample_weight=None)