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Enhancing DNN Computational Efficiency via Decomposition and Approximation

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The increasing computational demands of emerging deep neural networks (DNNs) are fueled by their extensive computation intensity across various tasks. placing a significant strain on resources. This paper introduces DART. an adaptive microarchitecture that enhances area. https://fentybeautys.shop/product-category/eyebrow-enhancers/
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