model.py 文件源码

def bilstm_woatt_model(self):
        """Define a model with bi-LSTM layers and without attention."""

        input_a = Input(shape=(self.max_sequence_length, self.embedding_dim,))
        input_b = Input(shape=(self.max_sequence_length, self.embedding_dim,))
        lstm_layer = self.create_lstm_layer_last(self.max_sequence_length)
        lstm_last_a = lstm_layer(input_a)
        lstm_last_b = lstm_layer(input_b)

        dist = Lambda(self.cosine_dist, output_shape=self.cosine_dist_output_shape,
                      name="similarity_network")([lstm_last_a, lstm_last_b])

        dense = Dense(1, activation='sigmoid', name='similarity_score',
                      kernel_regularizer=None,
                      bias_regularizer=None,
                      activity_regularizer=None)(dist)

        model = Model([input_a, input_b], dense)

        return model