深度學習（六十九）darknet 實現實驗 Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffma
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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相關文章
- 1. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記
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