View source on GitHub |
He uniform variance scaling initializer.
tfp.experimental.nn.initializers.he_uniform(
seed=None
)
It draws samples from a uniform distribution within [-limit, limit]
where limit
is sqrt(6 / fan_in)
where fan_in
is the number of input units in the weight tensor.
Args | |
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seed
|
PRNG seed; see tfp.random.sanitize_seed for details.
Default value: None .
|
Returns | |
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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.
|
References | |
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He et al., 2015 (pdf) |