Struct XavierUniform

pub struct XavierUniform<X>
where
    X: Float + SampleUniform,
{ /* private fields */ }

Uniform Xavier initializers use a uniform distribution to initialize the weights of a neural network within a given range.

Implementations

impl<X> XavierUniform<X>

where X: Float + SampleUniform,

pub fn new(inputs: usize, outputs: usize) -> Result<Uniform<X>, Error>

where X: FromPrimitive,

pub const fn distr(&self) -> &Uniform<X>

Trait Implementations

impl<X> Distribution<X> for XavierUniform<X>

where X: Float + SampleUniform,

fn sample<R>(&self, rng: &mut R) -> X

where R: Rng + ?Sized,

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> Iter<Self, R, T>

where R: Rng, Self: Sized,

Create an iterator that generates random values of T, using rng as the source of randomness.

fn map<F, S>(self, func: F) -> Map<Self, F, T, S>

where F: Fn(T) -> S, Self: Sized,

Map sampled values to type S