View source on GitHub
|
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:
(pdf)