initializer_lecun_normal {keras} | R Documentation |
LeCun normal initializer.
Description
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..
Usage
initializer_lecun_normal(seed = NULL)
Arguments
seed |
A Python integer. Used to seed the random generator. |
References
Efficient Backprop, LeCun, Yann et al. 1998
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()
[Package keras version 2.15.0 Index]