Streamlined Deployment for Quantized Neural Networks

12 Sep 2017 Yaman Umuroglu Magnus Jahre

Running Deep Neural Network (DNN) models on devices with limited computational capability is a challenge due to large compute and memory requirements. Quantized Neural Networks (QNNs) have emerged as a potential solution to this problem, promising to offer most of the DNN accuracy benefits with much lower computational cost... (read more)

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