Hello!
I am doing a school work and I need to find out keras model memory size so I could compare different models. It is supposed to be composed of weights/parameters and model itself. It was given that model.summary() should contain all the information. From there I see that layer info and output shapes with the number of parameters.
I understand parameters as they are just a numbers and so, number of parameters * 4B most likely will give how much room parameters take. But I know that more information is required to know memory occupied by this model.
Can anyone guide me on how I can find out how many bytes of memory this model occupies?