SqueezeNet:AlexNet-level Accuracy with 50x fewer parameters and less than 0.5Mb model size - 代码天地

SqueezeNet:AlexNet-level Accuracy with 50x fewer parameters and less than 0.5Mb model size

其他 2018-06-04 23:42:51 阅读次数: 6

- Fire modules consisting of a 'squeeze' layer with 1*1 filters feeding an 'expand' layer with 1*1 and 3*3 filters(通過餵食一個包含1*1和3*3濾波器的'擴展'層，激勵包含一個'擠壓'層的模塊)

- AlexNet level accuracy on ImageNet with 50x fewer parameters（具有AlexNet水平的精度，卻少了50倍的參數量）

- Can compress to 510x smaller than AlexNet(0.5Mb)（可以比AlexNet壓縮510倍）

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转载自www.cnblogs.com/2008nmj/p/9136509.html

SqueezeNet:AlexNet-level Accuracy with 50x fewer parameters and less than 0.5Mb model size

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】《SqueezeNet：AlexNet-Level accuracy with 50× fewer parameters and 小于 0.5MB model size》

【论文阅读】【ICLR 2017】SqueezeNet AlexNet-level accuracy with 50x fewer parameters and 0.5MB model size

论文阅读之SequeezeNet：AlexNet-level accuracy with 50x fewer parameters and<0.5MB model size

模型压缩经典论文SqueezeNet:AlexNet level accuracy with 50x fewer parameters and less 0.5MB model size论文详解

from + size must be less than or equal to: [10000] but was [10550]

【CV】SqueezeNet：用于嵌入式设备的轻量化 CNN 压缩模型（0.5MB）

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