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I wonder whether some of the intermediate layers in these models might correspond to something like "living room" or other locations that provide additional inf
by hyperion2010 12y ago
I wonder whether some of the intermediate layers in these models might correspond to something like "living room" or other locations that provide additional information about the objects that might be in the scene. For example, I suspect it was much easier for me to identify the preamp and the wii in one of the pictures because I knew it was a living room/den instead of an office or study.
- pdenya 12y agoIn this case, no they didn't have pre-labeled location/setting available. You can see one of the datasets they used here: http://image-net.org/challenges/LSVRC/2013/#data http://image-net.org/challenges/LSVRC/2013/#data. Generally speaking, Neural Networks are black boxes. The layers interact with each other but not in a defined categorical manner like that. Layer size/depth are parameters you provide when setting up that have tradeoffs in result accuracy, space, time spent, etc like jpeg quality.