This class is used to initialize weight matrix with the He initialization rule given by He et.
More...
|
| HeInitialization () |
| Initialize the HeInitialization object.
|
|
template<typename eT > |
void | Initialize (arma::Mat< eT > &W, const size_t rows, const size_t cols) |
| Initialize the elements of the weight matrix with the He initialization rule. More...
|
|
template<typename eT > |
void | Initialize (arma::Mat< eT > &W) |
| Initialize the elements of the weight matrix with the He initialization rule. More...
|
|
template<typename eT > |
void | Initialize (arma::Cube< eT > &W, const size_t rows, const size_t cols, const size_t slices) |
| Initialize the elements of the specified weight 3rd order tensor with He initialization rule. More...
|
|
template<typename eT > |
void | Initialize (arma::Cube< eT > &W) |
| Initialize the elements of the specified weight 3rd order tensor with He initialization rule. More...
|
|
This class is used to initialize weight matrix with the He initialization rule given by He et.
al. for neural networks. The He initialization initializes weights of the neural network to better suit the rectified activation units.
For more information, the following paper can be referred to:
@article{Delving2015,
title = {Delving Deep into Rectifiers: Surpassing Human-Level Performance
on ImageNet Classification},
author = {Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun},
journal = {2015 IEEE International Conference on Computer Vision (ICCV)},
year = {2015},
pages = {1026-1034}
}