Xavier normal initialization — nn_init_xavier_normal

Fills the input Tensor with values according to the method described in Understanding the difficulty of training deep feedforward neural networks - Glorot, X. & Bengio, Y. (2010), using a normal distribution.

Usage

nn_init_xavier_normal_(tensor, gain = 1)

Arguments

tensor: an n-dimensional Tensor
gain: an optional scaling factor

Examples

if (torch_is_installed()) {
w <- torch_empty(3, 5)
nn_init_xavier_normal_(w)
}
#> torch_tensor
#> -0.0880  0.0380  0.3873  0.5258 -0.2260
#>  0.3976  0.5865  0.3985  0.1288  0.1922
#> -1.3640 -0.1368 -0.8700 -0.8383  1.2502
#> [ CPUFloatType{3,5} ]