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
#>  0.1571  0.1080  0.1504 -0.4818  0.3056
#> -0.1733 -0.9466 -0.5009 -0.1697  0.2231
#> -0.3127  0.2275  0.1703  0.3099 -1.0092
#> [ CPUFloatType{3,5} ]