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the limit is that training cannot force abstraction. you can only reach abstraction if you have enough neuron space and the data set is big enough to avoid over
by LoSboccacc 11y ago
the limit is that training cannot force abstraction. you can only reach abstraction if you have enough neuron space and the data set is big enough to avoid over-fitting textures.
the problem is.. human vision doesn't work just by feeding a bitmap. we have structure to decode space relationships, shapes and maybe even shadow/light relations. no way we gonna see classificator working on color arrays matching our vision capabilities
- Retric 11y agoSeems simple enough to feed a NN with that abstracted data. However, the advantage to the texture approach is it's abstracted from a lot of other information. You don't want a classifier to say sofa, when it's a picture of a person on a sofa.
- LoSboccacc 11y agobut then you're biasing it toward your perception: http://www.bespokesofalondon.co.uk/assets/Uploads/bespoke-sofa-2.jpg http://www.bespokesofalondon.co.uk/assets/Uploads/bespoke-so... anyway it does work perfectly if that's what you need, but most proponent are trying to use deep nn to classify 'as good as humans do'