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He normal initializer.
tf.compat.v2.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 | |
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seed
|
A Python integer. Used to seed the random generator. |
Returns | |
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An initializer. |