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especially for example so Jason Yosinski uh he has this deepest toolbox and I've shown you that you can kind of debug it that way a bit. Uh there's an entire
lecture that I encourage you to watch in CS231N on visualizing understanding uh convolutional networks. So people use things like a decom or guided or guided
back propagation or you back propagate to image and you try to find a stimulus that maximally activates any arbitrary neuron. So different ways of probing it
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