fn init_weights<D>(layer_sizes: &Vec<u32>, distribution: &D) -> Vec<LayerBiases>
    where
        D: Distribution<f64>,
    {
        let mut weights = Vec::with_capacity(layer_sizes.len() - 1);

        let num_weights = layer_sizes.len() - 1 as usize;
        for (l1, l2) in layer_sizes
            .iter()
            .take(num_weights)
            .zip(layer_sizes.iter().skip(1))
        {
            weights.push(Array::random((*l2 as usize, *l1 as usize), distribution) / (*l1 as f64).sqrt());
        }

        weights
    }
/// Generate network weights (used during initialization) by sampling from the
/// given distribution.
Generate network weights (used during initialization) by sampling from the
given distribution.
Generate network weights ( used during initialization ) by sampling from the given distribution .
fn init_weights<D>(layer_sizes: &Vec<u32>, distribution: &D) -> Vec<LayerBiases>
    where
        D: Distribution<f64>,
    {
        let mut weights = Vec::with_capacity(layer_sizes.len() - 1);
        let num_weights = layer_sizes.len() - 1 as usize;
        for (l1, l2) in layer_sizes
            .iter()
            .take(num_weights)
            .zip(layer_sizes.iter().skip(1))
        {
            weights.push(Array::random((*l2 as usize, *l1 as usize), distribution) / (*l1 as f64).sqrt());
        }
        weights
    }
fn init_weights < D > ( layer_sizes : & Vec < u32 > , distribution : & D ) -> Vec < LayerBiases > where D : Distribution < f64 > , { let mut weights = Vec :: with_capacity ( layer_sizes . len ( ) - 1 ) ; let num_weights = layer_sizes . len ( ) - 1 as usize ; for ( l1 , l2 ) in layer_sizes . iter ( ) . take ( num_weights ) . zip ( layer_sizes . iter ( ) . skip ( 1 ) ) { weights . push ( Array :: random ( ( * l2 as usize , * l1 as usize ) , distribution ) / ( * l1 as f64 ) . sqrt ( ) ) ; } weights }
Generate network weights (used during initialization) by sampling from the
given distribution.
Generate network weights ( used during initialization ) by sampling from the given distribution .
layer_sizes
&Vec<u32>
distribution
&D
layer_sizes
&Vec<u32>
distribution
&D