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Area and Energy Efficient 2D Max-Pooling For Convolutional Neural Network Hardware Accelerator
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
◽
10.1109/iecon43393.2020.9254452
◽
2020
◽
Author(s):
Bin Zhao
◽
Yi Sheng Chong
◽
Anh Tuan Do
Keyword(s):
Neural Network
◽
Convolutional Neural Network
◽
Energy Efficient
◽
Hardware Accelerator
◽
Max Pooling
◽
Neural Network Hardware
Download Full-text
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A RRAM based Max-Pooling Scheme for Convolutional Neural Network
2021 5th IEEE Electron Devices Technology & Manufacturing Conference (EDTM)
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Author(s):
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A high-throughput and energy-efficient RRAM-based convolutional neural network using data encoding and dynamic quantization
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