actual picture
Turning a panda into a cat?
If you've had anything to do with deep learning recently, you've heard of them: adversarial examples. Adversarial examples are one way of showing the limitations of neural networks when someone asks "is this how human vision works"?. In a nutshell, it is possible to change a few carefully chosen pixels in a picture of a panda, such that a network that was trained to distinguish pandas from cats will classify the picture of the panda as a picture of a cat. Now, note how I emphasized the word picture above. Because that is what we give to the network as input: a picture, a matrix of pixels.