FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs
Recently, convolutional neural networks (CNNs) have received a massive amount of interest due to their ability to achieve high accuracy in various artificial intelligence tasks. With the development of complex CNN models, a significant drawback is their high computational burden and memory requireme...
Main Authors: | , , , |
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格式: | 文件 |
语言: | English |
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MDPI AG
2025-01-01
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丛编: | Applied Sciences |
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在线阅读: | https://www.mdpi.com/2076-3417/15/2/688 |