# Normalization Layers

#### KerasBatchNormalization <a href="#kerasbatchnormalization" id="kerasbatchnormalization"></a>

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

Imports a BatchNormalization layer from Keras.

**KerasBatchNormalization**

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

Pass-through constructor from KerasLayer

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

**getBatchNormalizationLayer**

```
public BatchNormalization getBatchNormalizationLayer() 
```

Constructor from parsed Keras layer configuration dictionary.

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

**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 (4)

**setWeights**

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

Set weights for layer.

* param weights Map from parameter name to INDArray.


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