We have spent considerable time discussing layers of a network; we have learned that layers are made up of weights, configured in such a way that they can transform an input into a desirable output. These weights come at a cost, though; each one (by default) is a 32-bit floating-point number with a typical model, especially in computer vision, having millions resulting in networks that are hundreds of megabytes in size. On top of that; it's plausible that your application will have multiple models (with this chapter being a good example, requiring a model for each style).
Fortunately, our model in this chapter has a moderate number of weights and weighs in at a mere 2.2 MB; but this is possibly an exception. ...
