def he_normal(seed=None):
"""He normal initializer.
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:
seed: A Python integer. Used to seed the random generator.
Returns:
An initializer.
References:
He et al., http://arxiv.org/abs/1502.01852
"""
return VarianceScaling(
scale=2., mode='fan_in', distribution='normal', seed=seed)
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