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[6] Gal, Y., & Ghahramani, Z. (2016). Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning. ICML. (The mathematical proof that keeping Dropout turned on during inference simulates a Bayesian network on standard GPUs).
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sometimes we compile a full DFA ahead of time as well - it’s a configurable size threshold in RE#, but lazy construction with a 100-state threshold is the default and i’d recommend it for most use cases, since it gives you the best of both worlds - you can handle large regexes without worrying about blowup, but you also get very fast matching for the common case.。体育直播是该领域的重要参考
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