A method to estimate the energy consumption of deep neural networks
ACSSC, pp. 1916-1920, 2017.
Deep Neural Networks (DNNs) have enabled state-of-the-art accuracy on many challenging artificial intelligence tasks. While most of the computation currently resides in the cloud, it is desirable to embed DNN processing locally near the sensor due to privacy, security, and latency concerns or limitations in communication bandwidth. Accord...More
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