def get_model_parameters(self):
    ' Return the model parameters in the form of numpy arrays.\n        :return: model parameters\n        '
    with tf.Session() as self.tf_session:
        self.tf_saver.restore(self.tf_session, self.model_path)
        return {'W': self.W.eval(), 'bh_': self.bh_.eval(), 'bv_': self.bv_.eval()}
Return the model parameters in the form of numpy arrays.
:return: model parameters
def get_model_parameters(self):
    ' Return the model parameters in the form of numpy arrays.\n        :return: model parameters\n        '
    with tf.Session() as self.tf_session:
        self.tf_saver.restore(self.tf_session, self.model_path)
        return {'W': self.W.eval(), 'bh_': self.bh_.eval(), 'bv_': self.bv_.eval()}