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1:26:29
Microsoft
Deep Compression, DSD Training and EIE: Deep Neural Network Model Compression, Regularization and Hardware Acceleration
Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on mobile phones and embedded systems with limited hardware resources. To address this limitation, this talk first introduces “Deep Compression” that can compress the deep neural networks by 10x-49x without loss of prediction accuracy[1 ...
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