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---
title: Keras Import Supported Features
short_title: Supported Features
description: Supported Keras features.
category: Keras Import
weight: 2
---
## Keras Model Import: Supported Features
Little-known fact: Deeplearning4j's creator, Skymind, has two of the top
five [Keras contributors ](https://github.com/keras-team/keras/graphs/contributors )
on our team, making it the largest contributor to Keras after Keras creator Francois
Chollet, who's at Google.
While not every concept in DL4J has an equivalent in Keras and vice versa, many of the
key concepts can be matched. Importing keras models into DL4J is done in
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our [deeplearning4j-modelimport ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras )
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module. Below is a comprehensive list of currently supported features.
* [Layers ](#layers )
* [Losses ](#losses )
* [Activations ](#activations )
* [Initializers ](#initializers )
* [Regularizers ](#regularizers )
* [Constraints ](#constraints )
* [Metrics ](#metrics )
* [Optimizers ](#optimizers )
## <a name="layers">Layers</a>
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Mapping keras to DL4J layers is done in the [layers ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers ) sub-module of model import. The structure of this project loosely reflects the structure of Keras.
### [Core Layers](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core)
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Dense ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDense.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Activation ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasActivation.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Dropout ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasDropout.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Flatten ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasFlatten.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Reshape ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasReshape.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Merge ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMerge.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Permute ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasPermute.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [RepeatVector ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasRepeatVector.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Lambda ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasLambda.java )
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* < i class = "fas fa-times" style = "color:#FF0000" ></ i > ActivityRegularization
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Masking ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMasking.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [SpatialDropout1D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [SpatialDropout2D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [SpatialDropout3D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasSpatialDropout.java )
### [Convolutional Layers](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional)
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Conv1D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution1D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Conv2D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution2D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Conv3D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasConvolution3D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [AtrousConvolution1D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution1D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [AtrousConvolution2D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasAtrousConvolution1D.java )
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* < i class = "fas fa-times" style = "color:#FF0000" ></ i > SeparableConv1D
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > [SeparableConv2D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasSeparableConvolution2D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Conv2DTranspose ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasDeconvolution2D.java )
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* < i class = "fas fa-times" style = "color:#FF0000" ></ i > Conv3DTranspose
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Cropping1D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping1D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Cropping2D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping2D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Cropping3D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasCropping3D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [UpSampling1D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling1D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [UpSampling2D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling2D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [UpSampling3D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasUpsampling2D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [ZeroPadding1D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding1D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [ZeroPadding2D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding2D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [ZeroPadding3D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/convolutional/KerasZeroPadding3D.java )
### [Pooling Layers](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling)
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [MaxPooling1D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [MaxPooling2D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [MaxPooling3D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [AveragePooling1D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling1D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [AveragePooling2D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling2D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [AveragePooling3D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasPooling3D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [GlobalMaxPooling1D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [GlobalMaxPooling2D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [GlobalMaxPooling3D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [GlobalAveragePooling1D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [GlobalAveragePooling2D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [GlobalAveragePooling3D ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/pooling/KerasGlobalPooling.java )
### [Locally-connected Layers](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local)
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [LocallyConnected1D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected1D.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [LocallyConnected2D ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/local/KerasLocallyConnected2D.java )
### [Recurrent Layers](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent)
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [SimpleRNN ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnn.java )
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* < i class = "fas fa-times" style = "color:#FF0000" ></ i > GRU
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > [LSTM ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLstm.java )
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* < i class = "fas fa-times" style = "color:#FF0000" ></ i > ConvLSTM2D
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### [Embedding Layers](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings)
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Embedding ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/embeddings/KerasEmbedding.java )
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### [Merge Layers](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/core/KerasMerge.java)
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > Add / add
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Multiply / multiply
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Subtract / subtract
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Average / average
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Maximum / maximum
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Concatenate / concatenate
* < i class = "fas fa-times" style = "color:#FF0000" ></ i > Dot / dot
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### [Advanced Activation Layers](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations)
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [LeakyReLU ](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasLeakyReLU.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [PReLU ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasPReLU.java )
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > ELU
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > [ThresholdedReLU ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasThresholdedReLU.java )
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### [Normalization Layers](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization)
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [BatchNormalization ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/normalization/KerasBatchNormalization.java )
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### Noise Layers
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > [GaussianNoise ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianNoise.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [GaussianDropout ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasGaussianDropout.java )
* < i class = "far fa-check-square" style = "color:#008000" ></ i > [AlphaDropout ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/noise/KerasAlphaDropout.java )
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### Layer Wrappers
* < i class = "fas fa-times" style = "color:#FF0000" ></ i > TimeDistributed
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > [Bidirectional ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectional.java )
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## <a name="losses">[Losses](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasLossUtils.java)</a>
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > mean_squared_error
* < i class = "far fa-check-square" style = "color:#008000" ></ i > mean_absolute_error
* < i class = "far fa-check-square" style = "color:#008000" ></ i > mean_absolute_percentage_error
* < i class = "far fa-check-square" style = "color:#008000" ></ i > mean_squared_logarithmic_error
* < i class = "far fa-check-square" style = "color:#008000" ></ i > squared_hinge
* < i class = "far fa-check-square" style = "color:#008000" ></ i > hinge
* < i class = "far fa-check-square" style = "color:#008000" ></ i > categorical_hinge
* < i class = "fas fa-times" style = "color:#FF0000" ></ i > logcosh
* < i class = "far fa-check-square" style = "color:#008000" ></ i > categorical_crossentropy
* < i class = "far fa-check-square" style = "color:#008000" ></ i > sparse_categorical_crossentropy
* < i class = "far fa-check-square" style = "color:#008000" ></ i > binary_crossentropy
* < i class = "far fa-check-square" style = "color:#008000" ></ i > kullback_leibler_divergence
* < i class = "far fa-check-square" style = "color:#008000" ></ i > poisson
* < i class = "far fa-check-square" style = "color:#008000" ></ i > cosine_proximity
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## <a name="activations">[Activations](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasActivationUtils.java)</a>
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > softmax
* < i class = "far fa-check-square" style = "color:#008000" ></ i > elu
* < i class = "far fa-check-square" style = "color:#008000" ></ i > selu
* < i class = "far fa-check-square" style = "color:#008000" ></ i > softplus
* < i class = "far fa-check-square" style = "color:#008000" ></ i > softsign
* < i class = "far fa-check-square" style = "color:#008000" ></ i > relu
* < i class = "far fa-check-square" style = "color:#008000" ></ i > tanh
* < i class = "far fa-check-square" style = "color:#008000" ></ i > sigmoid
* < i class = "far fa-check-square" style = "color:#008000" ></ i > hard_sigmoid
* < i class = "far fa-check-square" style = "color:#008000" ></ i > linear
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## <a name="initializers">[Initializers](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasInitilizationUtils.java)</a>
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > Zeros
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Ones
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Constant
* < i class = "far fa-check-square" style = "color:#008000" ></ i > RandomNormal
* < i class = "far fa-check-square" style = "color:#008000" ></ i > RandomUniform
* < i class = "far fa-check-square" style = "color:#008000" ></ i > TruncatedNormal
* < i class = "far fa-check-square" style = "color:#008000" ></ i > VarianceScaling
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Orthogonal
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Identity
* < i class = "far fa-check-square" style = "color:#008000" ></ i > lecun_uniform
* < i class = "far fa-check-square" style = "color:#008000" ></ i > lecun_normal
* < i class = "far fa-check-square" style = "color:#008000" ></ i > glorot_normal
* < i class = "far fa-check-square" style = "color:#008000" ></ i > glorot_uniform
* < i class = "far fa-check-square" style = "color:#008000" ></ i > he_normal
* < i class = "far fa-check-square" style = "color:#008000" ></ i > he_uniform
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## <a name="regularizers">[Regularizers](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasRegularizerUtils.java)</a>
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > l1
* < i class = "far fa-check-square" style = "color:#008000" ></ i > l2
* < i class = "far fa-check-square" style = "color:#008000" ></ i > l1_l2
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## <a name="constraints">[Constraints](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasConstraintUtils.java)</a>
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > max_norm
* < i class = "far fa-check-square" style = "color:#008000" ></ i > non_neg
* < i class = "far fa-check-square" style = "color:#008000" ></ i > unit_norm
* < i class = "far fa-check-square" style = "color:#008000" ></ i > min_max_norm
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## <a name="optimizers">[Optimizers](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasOptimizerUtils.java)</a>
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* < i class = "far fa-check-square" style = "color:#008000" ></ i > SGD
* < i class = "far fa-check-square" style = "color:#008000" ></ i > RMSprop
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Adagrad
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Adadelta
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Adam
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Adamax
* < i class = "far fa-check-square" style = "color:#008000" ></ i > Nadam
* < i class = "fas fa-times" style = "color:#FF0000" ></ i > TFOptimizer
