Struct Perceptron 

pub struct Perceptron<const N: usize> { /* private fields */ }

Perceptron

This is a single perceptron implementation. It contains weights, bias and an activation function. You can use this struct and its methods to create, manipulate and even implement your ways to train a perceptron (find the weights).

Example

use only_brain::Perceptron;
use only_brain::ActivationFunction;
use only_brain::bvector;

fn main() {
    let mut perceptron = Perceptron::<2>::new(ActivationFunction::Sigmoid);

    perceptron.set_weights(bvector![0.5, -0.2]);
    perceptron.set_bias(0.3);
    println!("{}", perceptron);

    let inputs = bvector![0.6, 0.4];
    let output = perceptron.feed_forward(&inputs);
    println!("Output: {}", output);
}

Implementations

impl<const N: usize> Perceptron<N>

pub fn new(activation_function: ActivationFunction) -> Self

pub fn set_weights(&mut self, weights: BVector<f64, N>)

pub fn set_bias(&mut self, bias: f64)

pub fn feed_forward(&self, inputs: &BVector<f64, N>) -> f64

Trait Implementations

impl<const N: usize> Clone for Perceptron<N>

fn clone(&self) -> Self

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<const N: usize> Debug for Perceptron<N>

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

Formats the value using the given formatter.

impl<const N: usize> Display for Perceptron<N>

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

Formats the value using the given formatter.

impl<const N: usize> PartialEq for Perceptron<N>

fn eq(&self, other: &Self) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl<const N: usize> StructuralPartialEq for Perceptron<N>