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
#>  0.4102 -0.1890  0.4511  0.8169 -0.4813
#> -0.1760  0.2832 -0.0651 -0.4736  0.9286
#> -0.3463 -0.0879  0.2474 -0.1130 -0.6474
#> [ CPUFloatType{3,5} ]