Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks
2020
Popular deep neural networks (DNNs) spend the majority of their execution time computing convolutions. The Winograd family of algorithms can greatly reduce the number of arithmetic operations requi...
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