tf.compat.v1.initializers.he_normal

He normal initializer.

tf.compat.v1.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:

He et al., 2015

(pdf)