tf.keras.random.beta

Draw samples from a Beta distribution.

tf.keras.random.beta(
    shape, alpha, beta, dtype=None, seed=None
)

The values are drawm from a Beta distribution parametrized by alpha and beta.

shape The shape of the random values to generate.
alpha Float or an array of floats representing the first parameter alpha. Must be broadcastable with beta and shape.
beta Float or an array of floats representing the second parameter beta. Must be broadcastable with alpha and shape.
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 (via keras.config.set_floatx(float_dtype)).
seed A Python integer or instance of keras.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.