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

Binary Cross Entropy loss function.

Use this cross-entropy loss when there are only two label classes (assumed to be 0 and 1). For each example, there should be a single floating-point value per prediction.

Methods

constructor

$builer->BinaryCrossEntropy()

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

Examples

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