关键词：多层神经网络；对象识别；卷积神经网络
摘 要：Our work provides answer to the following four questions: (a) What happens during finetuning of a discriminatively pretrained network? (b) How much information is in the location and how much of it is in the magnitude of filter activation? (c) Does a multilayer CNN contain Grand-Mother Cells? How distributed is the code? (d) How does training of CNN progress over time? Does too much pre-training hurt generalization performance?