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# BNNSLossFunctionSigmoidCrossEntropy

Sigmoid activation on input logits, and independent computation of cross-entropy loss for each class.

```
var BNNSLossFunctionSigmoidCrossEntropy: BNNSLossFunction { get }
```

## Discussion

[`BNNSLossFunctionSigmoidCrossEntropy`](/documentation/Accelerate/BNNSLossFunctionSigmoidCrossEntropy) performs sigmoid on input logits and computes cross entropy loss for each class independently.

You can smooth labels can according to smoothing factor.

You can scale the loss with either a scalar value or weight matrix, and reduce the loss according to a reduction function.

---

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