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Squeezenetv1_1
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它是一个比较早期且经典的轻量级网络。采用Fire模块进行参数压缩，在不大幅度降低模型精度的前提下，最大程度的提高运算速度。它主要使用如下压缩策略:将3*3卷积替换成1*1卷积，减少3*3卷积的通道数，将降采样后置。以ImageNet数据集为例，最终能到达精度_上与AlexNet近似，参数比AlexNet小50倍的效果。

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