Lets assume that we have 10 vectors already in the memory of the network, 10 for 10 complete shapes, that means that weights matrix is ready. And now we try to guess a new incomplete shape. The new shape is a vector, and the network will find to which one of the 10 vectors already in memory, the new shape is most similar. Obiously this is not strict mathematical language, but I hope it is easier now to grasp the idea.
