Glorot normal initializer, also called Xavier normal initializer.
It draws samples from a truncated normal distribution centered on 0
with stddev = sqrt(2 / (fan_in + fan_out))
where fan_in is the number of input units in the weight tensor
and fan_out is the number of output units in the weight tensor.
initializer_glorot_normal(seed = NULL)
seed |
Integer used to seed the random generator. |
Glorot & Bengio, AISTATS 2010 https://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf
Other initializers:
initializer_constant(),
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_truncated_normal(),
initializer_variance_scaling(),
initializer_zeros()
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