tf.random.normal  |  TensorFlow v2.16.1 (original) (raw)

tf.random.normal

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Outputs random values from a normal distribution.

View aliases

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.random.normal, tf.compat.v1.random_normal

tf.random.normal(
    shape,
    mean=0.0,
    stddev=1.0,
    dtype=tf.dtypes.float32,
    seed=None,
    name=None
)

Used in the notebooks

Example that generates a new set of random values every time:

tf.random.set_seed(5); tf.random.normal([4], 0, 1, tf.float32) <tf.Tensor: shape=(4,), dtype=float32, numpy=..., dtype=float32)>

Example that outputs a reproducible result:

tf.random.set_seed(5); tf.random.normal([2,2], 0, 1, tf.float32, seed=1) <tf.Tensor: shape=(2, 2), dtype=float32, numpy= array([[-1.3768897 , -0.01258316], [-0.169515 , 1.0824056 ]], dtype=float32)>

In this case, we are setting both the global and operation-level seed to ensure this result is reproducible. See tf.random.set_seed for more information.