MLP Class Reference

#include <mlp.h>

Public Member Functions
	MLP (size_t n_in, std::vector< size_t > n_outs)
const std::vector< Layer > &	layers () const
const std::vector< std::vector< Variable > > &	results () const
const std::vector< Variable > &	parameters () const
std::vector< Variable > &	mutable_parameters ()
std::vector< Variable > &	forward (const std::vector< double > &inputs)

Detailed Description

This class represents a Multi-Layer Perceptron (MLP) neural network.

Constructor & Destructor Documentation

MLP()

MLP::MLP ( size_t  n_in, std::vector< size_t >  n_outs  )

inline

Constructs an MLP with the specified number of input connections and output connections for each layer.

Parameters

n_in	The number of input connections.
n_outs	The number of output connections for each layer.

Member Function Documentation

forward()

std::vector< Variable > & MLP::forward

(

const std::vector< double > &

inputs

)

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

Parameters

inputs

The input values.

Returns

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

layers()

const std::vector<Layer>& MLP::layers ( ) const

inline

Returns the layers in the MLP.

Returns

The layers.

mutable_parameters()

std::vector<Variable>& MLP::mutable_parameters ( )

inline

Returns a mutable reference to the parameters of the MLP.

Returns

The mutable parameters.

parameters()

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

inline

Returns all parameters of the MLP, including parameters of all layers.

Returns

The parameters.

results()

const std::vector<std::vector<Variable> >& MLP::results ( ) const

inline

Returns the output results for each layer in the MLP.

Returns

The output results.

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

• /home/runner/work/TinyNeuralNetwork/TinyNeuralNetwork/src/neural_network/mlp.h
• /home/runner/work/TinyNeuralNetwork/TinyNeuralNetwork/src/neural_network/mlp.cc