【論文閱讀】【ICLR 2017】SqueezeNet AlexNet-level accuracy with 50x fewer parameters and 0.5MB model size
SqueezeNet AlexNet-level accuracy with 50x fewer parameters and 0.5MB model size SqueezeNet 是一種網絡結構，準確率與AlexNet相當（ImageNet數據集上），但參數量減少50倍。 同時，該網絡通過壓縮技術可以小於0.5mb，比AlexNet小510倍 本文主要內容： 介紹related work 描述
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相關文章
- 1. 論文筆記 SQUEEZENET: ALEXNET-LEVEL ACCURACY WITH 50X FEWER PARAMETERS AND ＜0.5MB MODEL SIZE
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- 5. 論文筆記——SQUEEZENET ALEXNET-LEVEL ACCURACY WITH 50X FEWER PARAMETERS AND <0.5MB MODEL SIZE
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