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
#>  0.3677 -0.4340 -1.0380  0.0195  0.1180
#> -0.7859  0.2910 -0.0708  0.1287 -0.5121
#> -0.0658  0.8496 -0.6923 -0.2431 -0.0753
#> [ CPUFloatType{3,5} ]