# tf.random_normal_initializer

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.8.4/tensorflow/python/ops/init_ops_v2.py#L366-L429) |

Initializer that generates tensors with a normal distribution.

    tf.random_normal_initializer(
        mean=0.0, stddev=0.05, seed=None
    )

Initializers allow you to pre-specify an initialization strategy, encoded in
the Initializer object, without knowing the shape and dtype of the variable
being initialized.

#### Examples:

    def make_variables(k, initializer):
      return (tf.Variable(initializer(shape=[k], dtype=tf.float32)),
              tf.Variable(initializer(shape=[k, k], dtype=tf.float32)))
    v1, v2 = make_variables(3,
                            tf.random_normal_initializer(mean=1., stddev=2.))
    v1
    <tf.Variable ... shape=(3,) ... numpy=array([...], dtype=float32)>
    v2
    <tf.Variable ... shape=(3, 3) ... numpy=

    make_variables(4, tf.random_uniform_initializer(minval=-1., maxval=1.))
    (<tf.Variable...shape=(4,) dtype=float32...>, <tf.Variable...shape=(4, 4) ...

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| ## Args ||
|---|---|
| `mean` | a python scalar or a scalar tensor. Mean of the random values to generate. |
| `stddev` | a python scalar or a scalar tensor. Standard deviation of the random values to generate. |
| `seed` | A Python integer. Used to create random seeds. See [`tf.random.set_seed`](https://www.tensorflow.org/versions/r2.8/api_docs/python/tf/random/set_seed) for behavior. |

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## Methods

### `from_config`

[View source](https://github.com/tensorflow/tensorflow/blob/v2.8.4/tensorflow/python/ops/init_ops_v2.py#L76-L96)

    @classmethod
    from_config(
        config
    )

Instantiates an initializer from a configuration dictionary.

#### Example:

    initializer = RandomUniform(-1, 1)
    config = initializer.get_config()
    initializer = RandomUniform.from_config(config)

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| Args ||
|---|---|
| `config` | A Python dictionary. It will typically be the output of `get_config`. |

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| Returns ||
|---|---|
| An Initializer instance. ||

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### `get_config`

[View source](https://github.com/tensorflow/tensorflow/blob/v2.8.4/tensorflow/python/ops/init_ops_v2.py#L424-L429)

    get_config()

Returns the configuration of the initializer as a JSON-serializable dict.

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| Returns ||
|---|---|
| A JSON-serializable Python dict. ||

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### `__call__`

[View source](https://github.com/tensorflow/tensorflow/blob/v2.8.4/tensorflow/python/ops/init_ops_v2.py#L405-L422)

    __call__(
        shape,
        dtype=https://www.tensorflow.org/versions/r2.8/api_docs/python/tf/dtypes#float32,
        **kwargs
    )

Returns a tensor object initialized as specified by the initializer.

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| Args ||
|---|---|
| `shape` | Shape of the tensor. |
| `dtype` | Optional dtype of the tensor. Only floating point types are supported. |
| `**kwargs` | Additional keyword arguments. |

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| Raises ||
|---|---|
| `ValueError` | If the dtype is not floating point |

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