Fully-Parallel Area-Efficient Deep Neural Network Design Using Stochastic Computing.

IEEE Transactions on Circuits and Systems II: Express Briefs(2017)

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摘要
Deep neural network (DNN) has emerged as a powerful machine learning technique for various artificial intelligence applications. Due to the unique advantages on speed, area, and power, specific hardware design has become a very attractive solution for the efficient deployment of DNN. However, the huge resource cost of multipliers makes the fully-parallel implementations of multiplication-intensive...
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关键词
Stochastic processes,Neural networks,Machine learning,Network topology,Optimization
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