tf.keras.initializers.he_normal
He normal initializer.
Aliases:
tf.compat.v2.initializers.he_normal
tf.compat.v2.keras.initializers.he_normal
tf.initializers.he_normal
tf.keras.initializers.he_normal(seed=None)
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.
Arguments:
seed
: A Python integer. Used to seed the random generator.
Returns:
An initializer.
References:
He et al., 2015 # pylint: disable=line-too-long (pdf)