# Gluon Loss API

## Overview

This document lists the loss API in Gluon:

```eval_rst
.. currentmodule:: mxnet.gluon.loss
```

This package includes several commonly used loss functions in neural networks.

```eval_rst
.. autosummary::
    :nosignatures:

    L2Loss
    L1Loss
    SigmoidBinaryCrossEntropyLoss
    SoftmaxCrossEntropyLoss
    KLDivLoss
    HuberLoss
    HingeLoss
    SquaredHingeLoss
    LogisticLoss
    TripletLoss
    CTCLoss
```


## API Reference

<script type="text/javascript" src='../../../_static/js/auto_module_index.js'></script>

```eval_rst
.. automodule:: mxnet.gluon.loss
    :members:
```

<script>auto_index("api-reference");</script>