The document discusses how images are used as inputs for neural networks. It explains that images need to be flattened into individual numbers before being input into the first layer. This flattening process takes a multi-dimensional array and converts it into a one-dimensional vector. An example is provided of a 2D array being flattened into a single list of numbers that can then be input to the neural network.