moridinamael
The first layer might recognize and respond to pixels in particular parts of an image, the next layer will group certain of those pixels-responses together into an abstraction you might call a "line", the next layer will respond to certain groupings of lines and add a level of wiggle-room regarding where the lines are in the image, and the final layer will judge whether a combination of groupings constitutes the letter "A". Or at least, if you spent a bit of time poking at a deep network, giving it slightly different inputs, you might eventually conclude that this is what the layers were doing.
Without layers, you're basically just approximating a simple function or mapping with one level of abstraction.
In such a world, if you didn't choose to use an icon of a camera to denote "photo", what the hell else could you possibly use that would make any natural sense?