• namespace: Rindow\NeuralNetworks\Losses
• classname: MeanSquaredError

Mean Squared Error loss function.

Computes the mean of squares of errors between labels and predictions.

Methods

constructor

$builer->MeanSquaredError()

You can create a MeanSquaredError loss function instances with the Losses Builder.

Examples

$model->compile(
    loss:$nn->losses()->MeanSquaredError(),
);