28 lines
1.3 KiB
Markdown
28 lines
1.3 KiB
Markdown
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---
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title: Keras Import Loss Functions
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short_title: Losses
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description: Supported Keras loss functions.
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category: Keras Import
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weight: 4
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---
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## Supported loss functions
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DL4J supports all available [Keras losses](https://keras.io/losses) (except for `logcosh`), namely:
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* <i class="fa fa-check-square-o"></i> mean_squared_error
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* <i class="fa fa-check-square-o"></i> mean_absolute_error
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* <i class="fa fa-check-square-o"></i> mean_absolute_percentage_error
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* <i class="fa fa-check-square-o"></i> mean_squared_logarithmic_error
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* <i class="fa fa-check-square-o"></i> squared_hinge
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* <i class="fa fa-check-square-o"></i> hinge
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* <i class="fa fa-check-square-o"></i> categorical_hinge
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* <i class="fa fa-square-o"></i> logcosh
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* <i class="fa fa-check-square-o"></i> categorical_crossentropy
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* <i class="fa fa-check-square-o"></i> sparse_categorical_crossentropy
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* <i class="fa fa-check-square-o"></i> binary_crossentropy
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* <i class="fa fa-check-square-o"></i> kullback_leibler_divergence
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* <i class="fa fa-check-square-o"></i> poisson
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* <i class="fa fa-check-square-o"></i> cosine_proximity
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The mapping of Keras loss functions can be found in [KerasLossUtils](https://github.com/deeplearning4j/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLossUtils.java).
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