# tf.compat.v1.initializers.he_normal

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.14.0/tensorflow/python/ops/init_ops.py#L1737-L1759) |

He normal initializer.

    tf.compat.v1.initializers.he_normal(
        seed=None
    )

It draws samples from a truncated normal distribution centered on 0
with standard deviation (after truncation) given by
`stddev = sqrt(2 / fan_in)` where `fan_in` is the number of
input units in the weight tensor.

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| ## Args ||
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| `seed` | A Python integer. Used to seed the random generator. |

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| ## Returns ||
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| An initializer. ||

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| ## References ||
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| [He et al., 2015](https://www.cv-foundation.org/openaccess/content_iccv_2015/html/He_Delving_Deep_into_ICCV_2015_paper.html) <br /> ([pdf](https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/He_Delving_Deep_into_ICCV_2015_paper.pdf)) ||

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