> Why does, 'mat' follow from 'the cat sat on the ...' because 'mat' is the most frequent word in the dataset; and the NN is a model of those frequencies. What

> Why does, 'mat' follow from 'the cat sat on the ...' because 'mat' is the most frequent word in the dataset; and the NN is a model of those frequencies. What about cases that are not present in the dataset? The model must be doing something besides storing raw probabilities to avoid overfitting and enable generalization (imagine that you could have a very performant model - when it works - but it sometimes would spew "Invalid input, this was not in the dataset so I don't have a conditional probability and I will bail out")