It was mentioned in the lecture that we need an empty ImageDatabunch with no data at all for prediction. As in, create empty ImageDatabunch => create cnn with data => load from a previously saved model => do prediction. Why do we need an empty ImageDatabunch if we can are not doing a fit. We would have the same weight parameters if we don’t do a fit as well. Is it done just for saving the memory of the system?