R/initializers.R

initializer_truncated_normal

Initializer that generates a truncated normal distribution.

Description

These values are similar to values from an initializer_random_normal() except that values more than two standard deviations from the mean are discarded and re-drawn. This is the recommended initializer for neural network weights and filters.

Usage

 
initializer_truncated_normal(mean = 0, stddev = 0.05, seed = NULL) 

Arguments

Arguments Description
mean Mean of the random values to generate.
stddev Standard deviation of the random values to generate.
seed Integer used to seed the random generator.

See Also

Other initializers: initializer_constant(), initializer_glorot_normal(), initializer_glorot_uniform(), initializer_he_normal(), initializer_he_uniform(), initializer_identity(), initializer_lecun_normal(), initializer_lecun_uniform(), initializer_ones(), initializer_orthogonal(), initializer_random_normal(), initializer_random_uniform(), initializer_variance_scaling(), initializer_zeros()