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Is there a mathematical proof that a binary neural network can approximate any function with arbitrary accuracy?
Yes, for a broad class, they actually do, with probability 1: [i] Wang, Yanzhi, et al. "Universal approximation property and equivalence of stochastic computing-based neural networks and binary ...
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