在Google Colab上按照这个教程训练我的模型后，当我尝试运行model.export('image_classifier.tflite', 'image_labels.txt')时，显示如下错误：

---------------------------------------------------------------------------AttributeError                            Traceback (most recent call last)<ipython-input-37-4d5419f8b12d> in <module>()----> 1 model.export('image_classifier.tflite', 'image_labels.txt')1 frames/usr/local/lib/python3.6/dist-packages/tensorflow_examples/lite/model_customization/core/task/image_classifier.py in export(self, tflite_filename, label_filename, **kwargs)    185       else:    186         quantized = False--> 187       self._export_tflite(tflite_filename, label_filename, quantized)    188     else:    189       raise ValueError('Model Export Format %s is not supported currently.' %/usr/local/lib/python3.6/dist-packages/tensorflow_examples/lite/model_customization/core/task/classification_model.py in _export_tflite(self, tflite_filename, label_filename, quantized)    130       quantized: boolean, if True, save quantized model.    131     """--> 132     converter = tf.lite.TFLiteConverter.from_keras_model(self.model)    133     if quantized:    134       converter.optimizations = [tf.lite.Optimize.OPTIMIZE_FOR_SIZE]AttributeError: type object 'TFLiteConverter' has no attribute 'from_keras_model

回答：

这个问题通过更新TensorFlow版本得以解决，我之前使用的是1.X版本，而TensorFlow在新版本中有了很大的变化。如果你在使用Google的Colab，版本仍然是1.X，很快将升级到2.0，所以建议你尝试以其他方式构建你的模型。