I am trying to import Inception v3 in TensorFlow. I wish to apply it after reading this tutorial on object detection.
$\begingroup$
$\endgroup$
Add a comment
|
$\begingroup$
$\endgroup$
2
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.
-
-
$\begingroup$ Unfortunately I don't have practical experience with Docker. However, since the GCP is configured for using containers, I think it can be applied without problems $\endgroup$ – Leevo Nov 29 '19 at 13:15
