Struct Network 

pub struct Network {
    pub layers: Vec<Layer>,
}

Fields

layers: Vec<Layer>

Implementations

impl Network

pub fn f(&self, v: Array1<f64>) -> Array1<f64>

Run inference without calculating gradients

pub fn push(&mut self, layer: Layer) -> Result<(), ShapeError>

Add a new layer at the end

pub fn new() -> Self

Create a new network with no layers

pub fn update(&mut self, learning_rate: f64)

Update weights with stored gradients

pub fn zero_grad(&mut self)

Reset gradients to 0

pub fn save_weights(&self, output_path: &Path) -> Result<(), Error>

Save the weights as a binary file

pub fn load_weights(&mut self, input_path: &Path) -> Result<(), Error>

Load the weights from a binary file Returns ErrorKind::UnexpectedEof if there are not enough weights

Trait Implementations

impl Default for Network

fn default() -> Self

Returns the “default value” for a type.