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深度學習(六十九)darknet 實現實驗 Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffma
時間 2020-02-04
標籤
深度
學習
六十九
darknet
實現
實驗
compressing
deep
neural
networks
pruning
trained
quantization
huffma
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本文主要實驗文獻文獻《Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding》算法,在tiny-yolo coco上的壓縮效果,在darknet基礎上,編寫該算法進行壓縮實驗,結果以下:算法 原始模型大小64M:mAP=0.224 spa 訓練5
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【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記
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