randomNormal

• namespace: Rindow\NeuralNetworks\Gradient\Func
• classname: RandomNormal

Random normal sampling function.

Generates random numbers following a normal distribution with the shape of the input. Gradients are not propagated to the input.

Methods

randomNormal

$g->randomNormal(
    Variable|NDArray $x,
    ?float $mean=null,
    ?float $scale=null,
    ?array $batchShape=null,
    ?int $seed=null,
) : Variable

Create and execute the function in the builder method

Arguments

• x: A Variable or NDArray that determines the shape and data type of the output. Implicitly create Variable for NDArray.

Options

• mean: Mean of the normal distribution. The default is 0.0.
• scale: Standard deviation of the normal distribution. The default is 1.0.
• batchShape: Additional batch shape prepended to the input shape.
• seed: Random seed.

use Rindow\Math\Matrix\MatrixOperator;
use Rindow\NeuralNetworks\Builder\NeuralNetworks;
$mo = new MatrixOperator();
$nn = new NeuralNetworks($mo);
$g = $nn->gradient();
$x = $g->Variable([[0,0],[0,0]]);
$y = $g->randomNormal($x,mean:0,scale:1,seed:0);
echo $mo->toString($y->shape())."\n";

# [2,2]