# Wrapper Layers

## KerasBidirectional

[\[source\]](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/wrappers/KerasBidirectional.java)

Builds a DL4J Bidirectional layer from a Keras Bidirectional layer wrapper

**KerasBidirectional**

```
public KerasBidirectional(Integer kerasVersion) throws UnsupportedKerasConfigurationException
```

Pass-through constructor from KerasLayer

* param kerasVersion major keras version
* throws UnsupportedKerasConfigurationException Unsupported Keras config

**getUnderlyingRecurrentLayer**

```
public Layer getUnderlyingRecurrentLayer()
```

Constructor from parsed Keras layer configuration dictionary.

* param layerConfig dictionary containing Keras layer configuration
* throws InvalidKerasConfigurationException Invalid Keras config
* throws UnsupportedKerasConfigurationException Unsupported Keras config

**getBidirectionalLayer**

```
public Bidirectional getBidirectionalLayer()
```

Get DL4J Bidirectional layer.

* return Bidirectional Layer

**getOutputType**

```
public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException
```

Get layer output type.

* param inputType Array of InputTypes
* return output type as InputType
* throws InvalidKerasConfigurationException Invalid Keras config

**getNumParams**

```
public int getNumParams()
```

Returns number of trainable parameters in layer.

* return number of trainable parameters

**getInputPreprocessor**

```
public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException
```

Gets appropriate DL4J InputPreProcessor for given InputTypes.

* param inputType Array of InputTypes
* return DL4J InputPreProcessor
* throws InvalidKerasConfigurationException Invalid Keras configuration exception
* see org.deeplearning4j.nn.conf.InputPreProcessor

**setWeights**

```
public void setWeights(Map<String, INDArray> weights) throws InvalidKerasConfigurationException
```

Set weights for Bidirectional layer.

* param weights Map of weights


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