How to use Inception v3 in Tensorflow
Keras, now fully merged with the new TensorFlow 2.0, allows you to call a long list of pre-trained models. If you want to create an Inception V3, you do:

from tensorflow.keras.applications import InceptionV3


That InceptionV3 you just imported is not a model itself, it's a class. You now need to instantiate an InceptionV3 object, with:

my_model = InceptionV3()


at this point, my_model is a Keras Sequential() model with the architecture and trained weights of Inception V3, that you can re-train, freeze, save, and load as you need.

Check also the full list of models available in the module, it's great.