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

- 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）

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

原文：https://www.cnblogs.com/2008nmj/p/9136509.html