Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks.

IEEE Transactions on Neural Networks and Learning Systems(2018)

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摘要
We are witnessing an explosive development and widespread application of deep neural networks (DNNs) in various fields. However, DNN models, especially a convolutional neural network (CNN), usually involve massive parameters and are computationally expensive, making them extremely dependent on high-performance hardware. This prohibits their further extensions, e.g., applications on mobile devices....
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关键词
Convolutional codes,Acceleration,Quantization (signal),Computational modeling,Mobile handsets,Training,Tensile stress
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