![]() |
He normal initializer.
Aliases:
tf.compat.v1.initializers.he_normal
tf.compat.v1.keras.initializers.he_normal
tf.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)