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2. Imagenet classification with deep convolutional neural networks;Krizhevsky;Adv. Neural Inf. Process. Syst.,2012
3. Going deeper with convolutions;Szegedy,2015
4. Deep residual learning for image recognition;He,2016
5. Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication;Hu,2016