Initializer that generates a truncated normal distribution.
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.
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