initializer_truncated_normal: Initializer that generates a truncated normal distribution.

Description Usage Arguments See Also

View source: R/initializers.R

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

1
initializer_truncated_normal(mean = 0, stddev = 0.05, seed = NULL)

Arguments

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


keras documentation built on Oct. 9, 2019, 1:04 a.m.