I took an existing architecture (‘little VGG’) and re-trained it on a dataset of Simpsons images. To get an idea of what it was “seeing”, I fed the image of Homer above (from the fantastic episode ‘Lisa the Iconoclast’) through the network and visualized a few layers.
The early layers of the network retain a lot of the properties of the original image. Here’s the first two layers:
Even in the third layer of the network there’s some homer-esque images that are still recognizable:
As you move into the ‘deeper’ layers, things start to get…weird. |
How do layers of a neural network like the one above map onto the brain? Stay tuned! Head to my github for code used in the above examples.
Mason Price was born in Missouri and completed his Ph.D. at the University of Missouri. He also holds a B.A. in Political Science.