tf.keras.random.normal | TensorFlow v2.16.1 (original) (raw)
tf.keras.random.normal
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Draw random samples from a normal (Gaussian) distribution.
tf.keras.random.normal(
shape, mean=0.0, stddev=1.0, dtype=None, seed=None
)
| Args | |
|---|---|
| shape | The shape of the random values to generate. |
| mean | Float, defaults to 0. Mean of the random values to generate. |
| stddev | Float, defaults to 1. Standard deviation of the random values to generate. |
| dtype | Optional dtype of the tensor. Only floating point types are supported. If not specified, keras.config.floatx() is used, which defaults to float32 unless you configured it otherwise (viakeras.config.set_floatx(float_dtype)). |
| seed | A Python integer or instance ofkeras.random.SeedGenerator. Used to make the behavior of the initializer deterministic. Note that an initializer seeded with an integer or None (unseeded) will produce the same random values across multiple calls. To get different random values across multiple calls, use as seed an instance of keras.random.SeedGenerator. |
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Last updated 2024-06-07 UTC.