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
#> -0.7864 -0.1473  1.0706 -0.8785 -0.8935
#> -0.5024 -0.1736 -0.5432 -0.2375 -0.2501
#>  0.0286  0.0050  0.2826  0.2536 -0.4196
#> [ CPUFloatType{3,5} ]