DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices 作者將CNN中的層分爲兩種:(1)Tensor Layer，如conv，fc；（2）Non-tensor Layer，如pooling，norm。作者發現網絡進行前向推理時，Non-tensor layer也會佔用不少時間和內存，作者提出用單獨的Ten
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相關文章
- 1. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 2. Channel Pruning for Accelerating Very Deep Neural Networks
- 3. ISCA'18 Prediction based execution on Deep Neural Networks
- 4. Accelerating the Super-Resolution Convolutional Neural Network
- 5. 00039- AI Benchmark: Running Deep Neural Networks on Android Smartphones
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- 7. Deep Neural Network
- 8. Deep Convolutional Neural Network Architecture
- 9. CNN 圖像加強--DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
- 10. Mobile-Efficient Convolutional Neural Network for Mobile Vision Applications