def build(self):
x = self._encoder(self.enc_input)
x = TimeDistributed(GlobalAveragePooling2D())(x)
x = self._rnn(x)
x = Model(inputs=self.enc_input, outputs=x)
rnn_out = x.get_layer(name='rnn_dense1').output
enc_out = x.get_layer(name='encoder_conv8').output
x = FusionLayer()([enc_out, self.incep_out, rnn_out])
x = self._decoder(x)
model = Model(inputs=[self.enc_input, self.incep_out], outputs=x)
return model
