kaiming_uniform([rng = default_rng_value()], size...; gain = √2) -> Array
kaiming_uniform([rng]; kw...) -> Function

Return an Array{Float32} of the given size containing random numbers drawn from a uniform distribution on the interval [-x, x], where x = gain * sqrt(3/fan_in) using [ nfan]( Flux.nfan).

This method is described in [1] and also known as He initialization.

Examples

			julia> round.(extrema(Flux.kaiming_uniform(100, 10)), digits=3)
(-0.774f0, 0.774f0)

julia> round.(extrema(Flux.kaiming_uniform(10, 100)), digits=3)
(-0.245f0, 0.244f0)

julia> round.(extrema(Flux.kaiming_uniform(100, 100)), digits=3)
(-0.245f0, 0.245f0)

References

[1] He, Kaiming, et al. "Delving deep into rectifiers: Surpassing human-level performance on imagenet classification." Proceedings of the IEEE international conference on computer vision. 2015.