Struct RNNCell 

pub struct RNNCell {
    pub input_weights: Vec<Vec<f64>>,
    pub hidden_weights: Vec<Vec<f64>>,
    pub biases: Vec<f64>,
    pub hidden_size: usize,
    pub input_size: usize,
    pub hidden_state: Vec<f64>,
}

A recurrent neural network cell (simple RNN)

Fields

input_weights: Vec<Vec<f64>>

hidden_weights: Vec<Vec<f64>>

biases: Vec<f64>

hidden_size: usize

input_size: usize

hidden_state: Vec<f64>

Implementations

impl RNNCell

pub fn new(input_size: usize, hidden_size: usize) -> Self

pub fn forward(&mut self, input: &[f64]) -> Vec<f64>

pub fn reset(&mut self)

pub fn param_count(&self) -> usize

pub fn get_params(&self) -> Vec<f64>

pub fn set_params(&mut self, params: &[f64])

Trait Implementations

impl Clone for RNNCell

fn clone(&self) -> RNNCell

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for RNNCell

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for RNNCell

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for RNNCell

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

where __S: Serializer,

Serialize this value into the given Serde serializer.