Interviewers never go and ask you interesting question, which surprised me. We trained this network twice, once from scratch with random weights, and once pre-initialized using weights that Google supplied us, which had previously been arrived at by training this network to do complete different things, like cats and dogs and horses and cars. Now, do you think the pre-training with cats and horses and cars will make cancer classification better, it would be indifferent, or it’s going to make it worse?