Struct NeuralNetGraph 

pub struct NeuralNetGraph {
    pub graph: Graph<NeuronNode, SynapseEdge>,
    pub layers: Vec<Vec<NodeId>>,
    pub layer_count: usize,
}

Fields

graph: Graph<NeuronNode, SynapseEdge>

layers: Vec<Vec<NodeId>>

layer_index -> Vec of neurons in that layer

layer_count: usize

Implementations

impl NeuralNetGraph

pub fn neuron_count(&self) -> usize

pub fn synapse_count(&self) -> usize

pub fn get_neuron(&self, id: NodeId) -> Option<&NeuronNode>

pub fn get_synapse(&self, id: EdgeId) -> Option<&SynapseEdge>

pub fn set_activations(&mut self, layer: usize, values: &[f32])

Set activations for a specific layer.

pub fn set_weights(&mut self, from_layer: usize, weights: &[Vec<f32>])

Set all weights for edges between two layers.

pub fn forward(&mut self, inputs: &[f32])

Forward pass: compute activations using sigmoid.

pub fn outputs(&self) -> Vec<f32>

Get output activations (last layer).

pub fn compute_layout(&self, bounds: Vec2) -> HashMap<NodeId, Vec2>

Generate layout: neurons in vertical columns per layer.

pub fn render_data(&self) -> NeuralRenderData

Generate rendering data: node brightness = activation, edge thickness = |weight|, edge color by sign.

Trait Implementations

impl Clone for NeuralNetGraph

fn clone(&self) -> NeuralNetGraph

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for NeuralNetGraph

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

Formats the value using the given formatter.