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深度学习(六十九)darknet 实现实验 Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffma
时间 2020-02-04
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本文主要实验文献文献《Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding》算法,在tiny-yolo coco上的压缩效果,在darknet基础上,编写该算法进行压缩实验,结果以下:算法 原始模型大小64M:mAP=0.224 spa 训练5
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相关文章
1.
【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】论文笔记
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