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)
A Python integer. Used to seed the random generator.
Efficient Backprop, LeCun, Yann et al. 1998
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()