Struct neuro::layers::Dense

pub struct Dense { /* fields omitted */ }

Defines a dense (or fully connected) layer.

Methods

impl Dense

pub fn new(units: u64, activation: Activation) -> Box<Dense>

Creates a dense layer with given number of units and activation function.

By default, the weights are initialized with a HeUniform initializer and the biases with a Zeros initializer.

pub fn with_param(
    units: u64,
    activation: Activation,
    weights_initializer: Initializer,
    biases_initializer: Initializer
) -> Box<Dense>

Creates a dense layer with the given parameters.

Trait Implementations

impl Display for Dense

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

Formats the value using the given formatter.

impl Layer for Dense

fn name(&self) -> &str

Returns the name of the layer.

fn initialize_parameters(&mut self, input_shape: Dim)

Initializes the parameters of the layer.

fn compute_activation(&self, input: &Tensor) -> Tensor

Computes the activation of the layer during the forward pass.

fn compute_activation_mut(&mut self, input: &Tensor) -> Tensor

Computes the forward pass and stores intermediate values for efficient backpropagation.

fn compute_dactivation_mut(&mut self, input: &Tensor) -> Tensor

Computes the backward pass through the layer.

fn output_shape(&self) -> Dim4

Returns the shape of the output.

fn parameters(&self) -> Option<Vec<&Tensor>>

Returns the trainable parameters of the layer.

fn parameters_mut(&mut self) -> Option<(Vec<&mut Tensor>, Vec<&Tensor>)>

Returns the trainable parameters of the layer and their derivatives.

fn save(&self, group: &Group, layer_number: usize) -> Result<(), Error>

Writes the parameters of the layer in the HDF5 group.

fn set_regularizer(&mut self, regularizer: Option<Regularizer>)

Sets the regularizer for the layer.

fn print(&self)

Displays the properties of the layer.