Very Deep Convolutional Networks for Large-scale Image Recognition(vggnet)
vggNet是从AlexNet而来,主要探索卷积神经网络的深度与性能之间的关系,通过反复堆叠3x3的卷积核(c中有1x1的卷积核,也只有c中有,c是16层)和2x2的最大池化层,vggNet构筑了16-19层深的卷积神经网络。
3x3卷积核:the smallest size to capture the notion of left/right,up/down,center
1x1卷积核:can be seen as a linear transformation of th input channels(followed by non-linearity)
整个网络的convolution stride固定为1,所有隐藏层的激活函数都用relu。
vggNet网络堆叠stride为1的3x3卷积核。两个3x3的卷积核堆叠的局部感受野相当于一个5x5的局部感受野,3个3x3的卷积核堆叠的局部感受野相当于7x7的局部感受野。堆叠的3x3卷积核比直接使用大的卷积核有两个好处:
1.增加非线性,因为每一层卷积核都有非线性激活函数relu,3层的3x3卷积核比7x7卷积核多进行了两次非线性变换,这样使得decision function more discriminative
2.减少了参数。假设通道数为c,3层3x3卷积核的参数量是3*(3*3*C*C),1层7x7卷积核的参数量是7*7*C*C。
vggNet中的1x1卷积核:GoogLeNet也采用了1x1卷积核,但不同的是,vggNet目的是增加非线性,而没有降维的目的。vggNet中要求1x1卷积核的输入输出维度应相等。
http://blog.csdn.net/wcy12341189/article/details/56281618 讲解vgg
http://blog.csdn.net/u014114990/article/details/51125776 多通道参数量的计算
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