Layer Class Reference

#include <layer.h>

Public Member Functions
	Layer (size_t n_in, size_t n_out, std::string activate_function="tanh")
	Layer (const Layer &other)
Layer &	operator= (const Layer &other)
Layer &	operator= (Layer &&other) noexcept
	Layer (Layer &&other) noexcept
const std::vector< Variable > &	parameters () const
const std::vector< Neuron > &	neurons () const
std::vector< Variable >	forward (const std::vector< double > &inputs)
std::vector< Variable >	forward (const std::vector< Variable > &variables)

Detailed Description

This class represents a layer in a neural network, consisting of multiple neurons.

Constructor & Destructor Documentation

Layer() [1/3]

Layer::Layer ( size_t  n_in, size_t  n_out, std::string  activate_function = "tanh"  )

inline

Constructs a layer with the specified number of input and output connections, and activation function.

Parameters

n_in	The number of input connections.
n_out	The number of output connections.
activate_function	The activation function of the layer. Default is "tanh".

Layer() [2/3]

Layer::Layer ( const Layer &  other )

inline

Copy constructor.

Parameters

other

The layer to be copied.

Layer() [3/3]

Layer::Layer ( Layer &&  other )

inlinenoexcept

Move assignment operator.

Parameters

other

The layer to be assigned.

Returns

A reference to the assigned layer.

Member Function Documentation

forward() [1/2]

std::vector< Variable > Layer::forward

(

const std::vector< double > &

inputs

)

Computes the forward pass of the layer given a vector of input values.

Parameters

inputs

The input values.

Returns

The output values of the layer as a vector of Variables.

forward() [2/2]

std::vector< Variable > Layer::forward

(

const std::vector< Variable > &

variables

)

Computes the forward pass of the layer given a vector of input variables.

Parameters

variables

The input variables.

Returns

The output values of the layer as a vector of Variables.

neurons()

const std::vector<Neuron>& Layer::neurons ( ) const

inline

Returns the neurons in the layer.

Returns

The neurons.

operator=() [1/2]

Layer& Layer::operator= ( const Layer &  other )

inline

Copy assignment operator.

Parameters

other

The layer to be assigned.

Returns

A reference to the assigned layer.

operator=() [2/2]

Layer& Layer::operator= ( Layer &&  other )

inlinenoexcept

Move constructor.

Parameters

other

The layer to be moved.

parameters()

const std::vector<Variable>& Layer::parameters ( ) const

inline

Returns all parameters of the layer, including parameters of all neurons.

Returns

The parameters.

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The documentation for this class was generated from the following files:

• /home/runner/work/TinyNeuralNetwork/TinyNeuralNetwork/src/layer/layer.h
• /home/runner/work/TinyNeuralNetwork/TinyNeuralNetwork/src/layer/layer.cc