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
#>  0.0111 -0.7521 -0.2166 -1.4364 -0.1252
#>  0.5491  0.6864  0.6320 -0.1544 -0.4447
#> -0.0655  0.2040  0.3490  0.1356  0.3134
#> [ CPUFloatType{3,5} ]