| initializer_truncated_normal {keras} | R Documentation |
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
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()