model.py 文件源码

def build_decoder(self,input_shape):
        data_dim = np.prod(input_shape)
        return [
            *[
                Sequential([
                    Dense(self.parameters['layer'], activation=self.parameters['decoder_activation'], use_bias=False),
                    BN(),
                    Dropout(self.parameters['dropout']),])
                for i in range(self.parameters['decoder_layers'])
            ],
            Sequential([
                Dense(data_dim, activation='sigmoid'),
                Reshape(input_shape),]),]