LeCun normal initializer.
It draws samples from a truncated normal distribution centered on 0 with
stddev <- sqrt(1 / fan_in) where fan_in is the number of input units in
the weight tensor..
initializer_lecun_normal(seed = NULL)Arguments
| seed | A Python integer. Used to seed the random generator. |
References
See also
Other initializers: initializer_constant,
initializer_glorot_normal,
initializer_glorot_uniform,
initializer_he_normal,
initializer_he_uniform,
initializer_identity,
initializer_lecun_uniform,
initializer_ones,
initializer_orthogonal,
initializer_random_normal,
initializer_random_uniform,
initializer_truncated_normal,
initializer_variance_scaling,
initializer_zeros