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---
title: Keras Initializers
short_title: Initializers
description: Supported Keras weight initializers.
category: Keras Import
weight: 4
---
## Supported initializers
DL4J supports all available [Keras initializers ](https://keras.io/initializers ), namely:
* < i class = "fa fa-check-square-o" ></ i > Zeros
* < i class = "fa fa-check-square-o" ></ i > Ones
* < i class = "fa fa-check-square-o" ></ i > Constant
* < i class = "fa fa-check-square-o" ></ i > RandomNormal
* < i class = "fa fa-check-square-o" ></ i > RandomUniform
* < i class = "fa fa-check-square-o" ></ i > TruncatedNormal
* < i class = "fa fa-check-square-o" ></ i > VarianceScaling
* < i class = "fa fa-check-square-o" ></ i > Orthogonal
* < i class = "fa fa-check-square-o" ></ i > Identity
* < i class = "fa fa-check-square-o" ></ i > lecun_uniform
* < i class = "fa fa-check-square-o" ></ i > lecun_normal
* < i class = "fa fa-check-square-o" ></ i > glorot_normal
* < i class = "fa fa-check-square-o" ></ i > glorot_uniform
* < i class = "fa fa-check-square-o" ></ i > he_normal
* < i class = "fa fa-check-square-o" ></ i > he_uniform
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The mapping of Keras to DL4J initializers can be found in [KerasInitilizationUtils ](https://github.com/eclipse/deeplearning4j/blob/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/utils/KerasInitilizationUtils.java ).