> deep nets will still find the structure in the data Yes, but in the training data, not in the non-training data! We want the cars to avoid real pedestrians,

> deep nets will still find the structure in the data Yes, but in the training data, not in the non-training data! We want the cars to avoid real pedestrians, not only the ones labelled in the training set! From the paper: > When trained on a completely random labeling of the true data, neural networks achieve 0 training error. The test error, of course, is no better than random chance as there is no correlation between the training labels and the test labels.