> For the complete documentation index, see [llms.txt](https://deeplearning4j.konduit.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://deeplearning4j.konduit.ai/zhong-wen-v1.0.0/keras-dao-ru/zhi-chi-gong-neng/sun-shi.md).

# 损失

### 支持的损失函数

DL4J支持所有可用的[Keras损失函数](https://keras.io/losses)（除了logcosh），即：

* mean\_squared\_error
* mean\_absolute\_error
* mean\_absolute\_percentage\_error
* mean\_squared\_logarithmic\_error
* squared\_hinge
* hinge
* categorical\_hinge
* logcosh
* categorical\_crossentropy
* sparse\_categorical\_crossentropy
* binary\_crossentropy
* kullback\_leibler\_divergence
* poisson
* cosine\_proximity

Keras的损失函数映射可在[KerasLossUtils](https://github.com/deeplearning4j/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLossUtils.java)中找到。