Neural networks are often thought of as opaque, black-box function approximators, but theoretical tools let us describe and visualize their behavior. In particular, let’s study piecewise-linearity, a property many neural networks share. This property has beenstudiedbefore, but we’ll try to visualize it in more detail than has been previously done.