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Neural network models have millions of parameters, which means you are trying to optimize in spaces with millions of dimensions. If you can't use differentiatio
by LeegleechN 5y ago
Neural network models have millions of parameters, which means you are trying to optimize in spaces with millions of dimensions. If you can't use differentiation you get hit really hard with the curse of dimensionality.