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Showing 1 to 1 of 1 for “"Low-precision DNN"”.

  1. Near-Memory Processing for Low-precision Deep Neural Networks

    Deep neural networks (DNNs) provide many application domains with state-of-the-art performance and accuracy. However, they are compute-heavy and data-intensive which makes deploying them on resource-constrained edge devices challenging. Transforming the real-valued parameters of a DNN into a …

    cambridge Repository record for Near-Memory Processing for Low-precision Deep Neural Networks (opens in a new tab)