10 июл 2018 г. - Wide Compression: Tensor Ring Nets (CVPR 2018)
Описание:
Three-component decompositionTensor Ring Nets (TRN), in
which layers of a deep neural network are compressed using tensor ring factorization.
结果：
TR-Nets approach is able to compress LeNet-5 by 11× without losing accuracy, and can compress the state-of-the-art Wide ResNet by 243× with only 2.3% degradation in Cifar10 image classification
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Дата:
10 июл 2018 г.
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~ 5 гг и 10 мес назад
