Illustration of uncertain system outputs resembling uncomputable Bayesian neural network.
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graphical illustration of The resulting uncertainty in the system's outputs doesn't just resemble the output of the ideal, but tragically uncomputable, Bayesian neural network. As it turns out, it is the output-at least, a close approximation, within rigorous theoretical bounds-of that ideal, uncomputable Bayesian neural network. The result has been a set of tools that put those once-impractical techniques within reach, making them available for practitioners to make use of in real applications. That's been a big, big change over the past few years, because now you can take these beautiful mathematics, yield some approximations, and then you can use these for interesting problems, --ar 16:9 --v 6.0 --no letter
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