tf.keras.initializers.he_normal

tf.keras.initializers.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