tf.keras.initializers.he_normal

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He normal initializer.

tf.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:

• seed: A Python integer. Used to seed the random generator.

Returns:

An initializer.

References:

He et al., 2015 # pylint: disable=line-too-long (pdf)