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)
Mean of the random values to generate.
Standard deviation of the random values to generate.
Integer used to seed the random generator.
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()