tfp.experimental.nn.initializers.he_normal
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He normal initializer.
tfp.experimental.nn.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.
Returns |
|---|
init_fn
|
A python callable which takes a shape Tensor, dtype and an
optional scalar int number of batch dims and returns a randomly
initialized Tensor with the specified shape and dtype.
|
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Last updated 2023-11-21 UTC.
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View source on GitHub