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
#>  0.0861  0.2105  0.0386  0.0478 -0.7859
#> -0.5292  0.0143 -0.1561 -0.4400  0.7440
#>  0.1636 -0.0215  0.7972  0.1964  0.3584
#> [ CPUFloatType{3,5} ]