Energy-Efficient ConvNets Through Approximate Computing

22 Mar 2016Bert MoonsBert De BrabandereLuc Van GoolMarian Verhelst

Recently ConvNets or convolutional neural networks (CNN) have come up as state-of-the-art classification and detection algorithms, achieving near-human performance in visual detection. However, ConvNet algorithms are typically very computation and memory intensive... (read more)

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