tf.compat.v1.keras.initializers.he_normal
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He normal initializer.
tf.compat.v1.keras.initializers.he_normal(
seed=None
)
It draws samples from a truncated normal distribution centered on 0
with standard deviation (after truncation) given by
stddev = sqrt(2 / fan_in) where fan_in is the number of
input units in the weight tensor.
Arguments |
|---|
seed
|
A Python integer. Used to seed the random generator.
|
References:
He et al., 2015
(pdf)
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Last updated 2020-10-01 UTC.
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