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INTEGRATED MEMORY SYSTEM FOR HIGH PERFORMANCE BAYESIAN AND CLASSICAL INFERENCE OF NEURAL NETWORKS
INTEGRATED MEMORY SYSTEM FOR HIGH PERFORMANCE BAYESIAN AND CLASSICAL INFERENCE OF NEURAL NETWORKS
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机译:高性能贝叶斯和神经网络经典推断的集成内存系统
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摘要
A memory module system for a high-dimensional weight space neural network configured to process machine learning data streams using Bayesian Inference and/or Classical Inference is set forth. The memory module can include embedded high speed random number generators (RNGs). The memory module is configured to compute, store and sample neural network weights by adapting operating precision to optimize the computing effort based on available weight space and application specifications.
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