Search alternatives:
implement detection » impairment detection (Expand Search), element detection (Expand Search), implement nutrition (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
fe algorithm » new algorithm (Expand Search), de algorithms (Expand Search), seu algorithm (Expand Search)
elements fe » elements _ (Expand Search), element te (Expand Search), elements b (Expand Search)
implement detection » impairment detection (Expand Search), element detection (Expand Search), implement nutrition (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
fe algorithm » new algorithm (Expand Search), de algorithms (Expand Search), seu algorithm (Expand Search)
elements fe » elements _ (Expand Search), element te (Expand Search), elements b (Expand Search)
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Comparison of power consumption in optical and silicon-based neural network implementations.
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Different implementations on MNIST object detection accuracy (%) with input image size.
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Accuracy of different electrical and optical neural networks for various input noise levels.
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Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets.
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