So it's a lot faster & cheaper.
An issue with that second workflow, though, is that it doesn't allow you to dynamically modify the input data of your new model during training, which is required when doing data augmentation, for instance.



Transfer learning with a Sequential model
Transfer learning with a Sequential model
First, let's say that you have a Sequential model, and you want to freeze all layers except the last one