I', trying to make a final model for an image classification model. I've trained it to a reasonable accuracy and loss using the same data but different architecture using densenet, vgg16, inception v3. Is there any way to combine these for a greater overall model
I've tried using the recommended ensemble model from the guy I am using as an inspiration but when running the file it prints a .db file out instead of h5. Any ideas