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face-recognition-with-heterogeneous-computing-of-cpu-and-gpu

In this article we present an approach on how to deploy the performance of state of the art deep learning CNN structures in an embedded device for the application of face recognition. The approach based on heterogeneous computing usage of CPU and GPU, provides a fast and low power solution that has the accuracy of a large VGG network thus making deep learning deployable in any embedded device. ‣ weiterlesen

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