【caffe】Caffe：常用层的参数设置

InnerProduct

Also known as a “fully-connected” layer, computes an inner product with a set of learned weights, and (optionally) adds biases.

Parameters:

int M_ int K_ int N_ bool bias_term_ Blob< Dtype > bias_multiplier_ bool transpose_ if true, assume transposed weights

Tile

Parameters:

unsigned int axis_ unsigned int tiles_ unsigned int outer_dim_ unsigned int inner_dim_

Reshape

vector< int > copy_axes_ vector of axes indices whose dimensions we'll copy from the bottom int inferred_axis_ the index of the axis whose dimension we infer, or -1 if none int constant_count_ the product of the "constant" output dimensions

参考地址：
1.http://caffe.berkeleyvision.org/doxygen/annotated.html