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Object-recognition AI – the dumb program's idea of a smart program: How neural nets are really just looking at textures

Anonymous Coward
Anonymous Coward

Its been a few years since I have done work in NN, but what I have read in recent years, I was working on what is now considered 3rd gen NN (spikey neuron neural networks) 17 years ago.

I haven't looked into how the training is done these days, but back then to improve the reliability of the detection you would introduce noise directly into the NN at the point of training to mix it up a little improving the generalisation of the learning. Do they do that these days or do they just train it directly with data, really just getting the NN to just memorize it?

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