3 ms·
I wonder how sensitive these results are. I mean, if you run one more learning round of the network, does the rifle turn to turtle in the eyes of the network im
by beefield 9y ago
I wonder how sensitive these results are. I mean, if you run one more learning round of the network, does the rifle turn to turtle in the eyes of the network immediately so that you would need to generate a new turtle for every single network? Or does that turtle look like rifle for all current neural networks? Or, most likely, somewhere in between?
- marcosdumay 9y agoIf you don't change the data, why would the network change its results with just some more learning iterations? It's already converging.
- beefield 9y agoBecause if I understtod anything correctly, the methods tries to find the smallest possible changes that causes the network to make the incorrect classofication. And these smallest possible changes just might be very sensitive to whatever small random ripple weight changes a network has. But I am far from neural network expert, so I can't really answer.