One way we can think about this is in terms of a pixel basis. This meaning can be understood in terms of combinations of basis vectors.įor example, each image in the training set is defined by a collection of 64 pixel values, which we will call the vector $x$: We can go a bit further here, and begin to ask what the reduced dimensions mean.
