# Advanced Activations ## KerasPReLU [\[source\]](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasPReLU.java) Imports PReLU layer from Keras **KerasPReLU** ``` public KerasPReLU(Map layerConfig) throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException ``` Constructor from parsed Keras layer configuration dictionary. * param layerConfig dictionary containing Keras layer configuration * throws InvalidKerasConfigurationException Invalid Keras config * throws UnsupportedKerasConfigurationException Unsupported Invalid Keras config **getOutputType** ``` public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException ``` Constructor from parsed Keras layer configuration dictionary. * param layerConfig dictionary containing Keras layer configuration * param enforceTrainingConfig whether to enforce training-related configuration options * throws InvalidKerasConfigurationException Invalid Keras config * throws UnsupportedKerasConfigurationException Invalid Keras config **getPReLULayer** ``` public PReLULayer getPReLULayer() ``` Get DL4J ActivationLayer. * return ActivationLayer **setWeights** ``` public void setWeights(Map weights) throws InvalidKerasConfigurationException ``` Set weights for layer. * param weights Dense layer weights ## KerasThresholdedReLU [\[source\]](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasThresholdedReLU.java) Imports ThresholdedReLU layer from Keras **KerasThresholdedReLU** ``` public KerasThresholdedReLU(Map layerConfig) throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException ``` Constructor from parsed Keras layer configuration dictionary. * param layerConfig dictionary containing Keras layer configuration * throws InvalidKerasConfigurationException Invalid Keras config * throws UnsupportedKerasConfigurationException Unsupported Invalid Keras config **getOutputType** ``` public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException ``` Constructor from parsed Keras layer configuration dictionary. * param layerConfig dictionary containing Keras layer configuration * param enforceTrainingConfig whether to enforce training-related configuration options * throws InvalidKerasConfigurationException Invalid Keras config * throws UnsupportedKerasConfigurationException Invalid Keras config **getActivationLayer** ``` public ActivationLayer getActivationLayer() ``` Get DL4J ActivationLayer. * return ActivationLayer ## KerasLeakyReLU [\[source\]](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/advanced/activations/KerasLeakyReLU.java) Imports LeakyReLU layer from Keras **KerasLeakyReLU** ``` public KerasLeakyReLU(Map layerConfig) throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException ``` Constructor from parsed Keras layer configuration dictionary. * param layerConfig dictionary containing Keras layer configuration * throws InvalidKerasConfigurationException Invalid Keras config * throws UnsupportedKerasConfigurationException Unsupported Invalid Keras config **getOutputType** ``` public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException ``` Constructor from parsed Keras layer configuration dictionary. * param layerConfig dictionary containing Keras layer configuration * param enforceTrainingConfig whether to enforce training-related configuration options * throws InvalidKerasConfigurationException Invalid Keras config * throws UnsupportedKerasConfigurationException Invalid Keras config **getActivationLayer** ``` public ActivationLayer getActivationLayer() ``` Get DL4J ActivationLayer. * return ActivationLayer --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://deeplearning4j.konduit.ai/1.0.0-m2/deeplearning4j/how-to-guides/keras-import/api-reference/advanced-activations.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.