ML Community Day is November 9! Join us for updates from TensorFlow, JAX, and more Learn more

tfp.experimental.nn.initializers.he_uniform

He uniform variance scaling initializer.

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.

seed PRNG seed; see tfp.random.sanitize_seed for details. Default value: None.

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:

He et al., 2015 (pdf)