Struct fast_neural_network::neural_network::Layer

pub struct Layer {
    pub size: usize,
    pub bias: Vec<f64>,
}

The underlying layer struct for the network.

Fields

size: usize

bias: Vec<f64>

Implementations

impl Layer

pub fn new(size: usize) -> Self

Creates a new layer with the given size.

Example

use fast_neural_network::neural_network::*;

let layer = Layer::new(3);

assert_eq!(layer.size, 3);
assert_eq!(layer.bias.len(), 3);

pub fn from_vec(vec: Vec<f64>) -> Self

Creates a new layer with the given bias.

Example

use fast_neural_network::neural_network::*;

let layer = Layer::from_vec(vec![0.03, 0.62, 0.85, 0.60, 0.62, 0.64]);

assert_eq!(layer.size, 6);
assert_eq!(layer.bias.len(), 6);

Trait Implementations

impl Clone for Layer

fn clone(&self) -> Layer

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Layer

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Layer

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Layer

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>where __S: Serializer,

Serialize this value into the given Serde serializer.