He normal initializer.
It draws samples from a truncated normal distribution centered on 0 with
stddev = sqrt(2 / fan_in) where fan_in is the number of input units in
the weight tensor.
initializer_he_normal(seed = NULL)
seed |
Integer used to seed the random generator. |
He et al., https://arxiv.org/abs/1502.01852
Other initializers:
initializer_constant(),
initializer_glorot_normal(),
initializer_glorot_uniform(),
initializer_he_uniform(),
initializer_identity(),
initializer_lecun_normal(),
initializer_lecun_uniform(),
initializer_ones(),
initializer_orthogonal(),
initializer_random_normal(),
initializer_random_uniform(),
initializer_truncated_normal(),
initializer_variance_scaling(),
initializer_zeros()
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