Using an existing dataset of images - the tool goes over all the images and checks which [9] images are maximizing the activation value of a neuron, it does it for every neuron
Using optimization - the tool generates an image which maximizes the activation value of a neuron, it does it by running a gradient ascent process
How to define the maximally activate some neuron exactly ?