So I apply preprocessing on my dataset because I can generate new data/do normalization.
Now its time to save model, so someone else can use it. Now I need normalization.
model = Sequential()
//model.add(Lambda(lambda x: (x / 255.0) ))
I want to attach this commented Layer before saving model. I didn’t need it for training but now
once model is trained I want to have normalization in network.
From this tutorial it is mention it is possible but I don’t see how to do this.
- In this case the prepreprocessing layers will not be exported with the model when you call model.save
. You will need to attach them to your model before saving it or reimplement them server-side. After training, you can attach the preprocessing layers before export.