random_truncated_normal: Draw samples from a truncated normal distribution.

In rstudio/keras: R Interface to 'Keras'

Draw samples from a truncated normal distribution.

Description

The values are drawn from a normal distribution with specified mean and standard deviation, discarding and re-drawing any samples that are more than two standard deviations from the mean.

Usage

random_truncated_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_normal()
random_seed_generator()
random_shuffle()
random_uniform()

rstudio/keras documentation built on April 27, 2024, 10:11 p.m.