Struct NeuralNetwork 

pub struct NeuralNetwork<'a> {
    pub layers: &'a [usize],
    pub weights: &'a [f32],
    pub biases: &'a [f32],
}

Fields

layers: &'a [usize]

weights: &'a [f32]

biases: &'a [f32]

Implementations

impl<'a> NeuralNetwork<'a>

pub fn from_parts( layers: &'a [usize], weights: &'a [f32], biases: &'a [f32], ) -> Option<Self>

pub fn expected_weights_count(layers: &[usize]) -> Option<usize>

pub fn expected_biases_count(layers: &[usize]) -> Option<usize>

pub fn conceptualize_5d<'s>( &self, storage: &'s mut [NeuronPoint], radius: f32, ) -> Result<Sphere5D<'s>, SphereError>

pub fn layer_count(&self) -> usize

pub fn build_dense_layer_specs( &self, hidden_activation: ActivationKind, output_activation: ActivationKind, out: &mut [LayerSpec], ) -> Option<usize>

pub fn forward_dense( &self, input: &[f32], output: &mut [f32], scratch: &mut [f32], layer_scratch: &mut [LayerSpec], hidden_activation: ActivationKind, output_activation: ActivationKind, ) -> Result<(), ForwardError>

Trait Implementations

impl<'a> Debug for NeuralNetwork<'a>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.