For example, an early layer could possibly figure out a thing as remaining in a certain shape; making on this expertise, a later layer might manage to establish the shape to be a end sign. Much like machine learning, deep learning employs iteration to self-appropriate and improve its prediction capabilities. For example, the moment it “learns”