Neural network caffe:conv层过滤器的平均值(通道上)
我有一个尺寸为nXmx16x1的conv层,我想计算16个滤波器的平均值或和,因此结果是1个尺寸为nxmx1x1的滤波器 类似于matlab中的平均值(A,3)的东西使用常量1x1Neural network caffe:conv层过滤器的平均值(通道上),neural-network,deep-learning,caffe,conv-neural-network,pycaffe,Neural Network,Deep Learning,Caffe,Conv Neural Network,Pycaffe,我有一个尺寸为nXmx16x1的conv层,我想计算16个滤波器的平均值或和,因此结果是1个尺寸为nxmx1x1的滤波器 类似于matlab中的平均值(A,3)的东西使用常量1x1“Conv”过滤器: layer { name: "avg" type: "Convolution" bottom: "input" top: "output" param { lr_mult: 0 decay_mult: 0 } # fix this layer, do not train
“Conv”
过滤器:
layer {
name: "avg"
type: "Convolution"
bottom: "input"
top: "output"
param { lr_mult: 0 decay_mult: 0 } # fix this layer, do not train
convolution_param {
num_output: 1
kernel_size: 1
bias: false # no bias
weight_filler: { type: "constant" value: 0.0625 } # 1/16.
}
}
@尼玛,你怎么能这么快就接受这个答案?你查过了吗?