Draw random samples from a normal (Gaussian) distribution.

Draw random samples from a normal (Gaussian) distribution.

Usage

random_normal(shape, mean = 0, stddev = 1, dtype = NULL, seed = NULL)

Arguments

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, config_floatx() is used, which defaults to float32 unless you configured it otherwise (via config_set_floatx(float_dtype)).

seed

An R integer or instance of random_seed_generator(). Used to make the behavior of the initializer deterministic. Note that an initializer seeded with an integer or NULL (unseeded) will produce the same random values across multiple calls. To get different random values across multiple calls, use as seed an instance of random_seed_generator().

Value

A tensor of random values.

See also

Other random:
random_beta()
random_binomial()
random_categorical()
random_dropout()
random_gamma()
random_integer()
random_seed_generator()
random_shuffle()
random_truncated_normal()
random_uniform()