The Intuition of Deep Learning Neural Networks

In a large data set, your average will have much less error because it was easier to hide whether any specific user was in the data set or not. And now, going to neural networks, basically, what happens is, similarly, trace the function that gets computed and keep adding error, either at every stage or at the end depending on the algorithm. So that probably the result, you know, is the probability that Alice was in thedata set or not or any other user are very, very close to each other,. Whether the user was not in theDataSet: "It's probable"