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He normal initializer.
Aliases:
tf.compat.v1.initializers.he_normaltf.compat.v1.keras.initializers.he_normaltf.keras.initializers.he_normal
tf.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.
Returns:
An initializer.
References:
pylint: disable=line-too-long
(pdf)