Class to deal with training of Feed-Forward 2 layers Neural Network with a tansig function for the hidden nodes and a purelin for the output nodes. More...
#include <neuralNetworks.h>
Inheritance diagram for iCub::optimization::ff2LayNNTrain_tansig_purelin:
Additional Inherited Members | |
| Public Member Functions inherited from iCub::optimization::ff2LayNNTrain | |
| ff2LayNNTrain () | |
| Default constructor. | |
| void | setBounds (const yarp::os::Property &bounds) |
| Allow specifying the bounds for training network's parameters. | |
| virtual bool | train (const unsigned int numHiddenNodes, const std::deque< yarp::sig::Vector > &in, const std::deque< yarp::sig::Vector > &out, std::deque< yarp::sig::Vector > &pred, double &error) |
| Train the network through optimization. | |
| virtual bool | retrain (const std::deque< yarp::sig::Vector > &in, const std::deque< yarp::sig::Vector > &out, std::deque< yarp::sig::Vector > &pred, double &error) |
| Retrain the network through optimization. | |
| virtual | ~ff2LayNNTrain () |
| Default destructor. | |
| Public Member Functions inherited from iCub::ctrl::ff2LayNN | |
| ff2LayNN () | |
| Create an empty network. | |
| ff2LayNN (const yarp::os::Property &options) | |
| Create and configure the network. | |
| virtual bool | configure (const yarp::os::Property &options) |
| Configure/reconfigure the network. | |
| virtual bool | isValid () const |
| Return the internal status after a configuration. | |
| virtual yarp::sig::Vector | predict (const yarp::sig::Vector &x) const |
| Predict the output given a certain input to the network. | |
| virtual bool | getStructure (yarp::os::Property &options) const |
| Retrieve the network structure as a Property object. | |
| virtual bool | printStructure (std::ostream &stream=std::cout) const |
| Dump tadily the network structure on the stream. | |
| std::deque< yarp::sig::Vector > & | get_IW () |
| Retrieve first layer weights. | |
| std::deque< yarp::sig::Vector > & | get_LW () |
| Retrieve second layer weights. | |
| yarp::sig::Vector & | get_b1 () |
| Retrieve first layer bias. | |
| yarp::sig::Vector & | get_b2 () |
| Retrieve second layer bias. | |
| virtual yarp::sig::Vector | scaleInputToNetFormat (const yarp::sig::Vector &x) const |
| Scale input to be used with the network. | |
| virtual yarp::sig::Vector | scaleInputFromNetFormat (const yarp::sig::Vector &x) const |
| Scale back input from the network's format. | |
| virtual yarp::sig::Vector | scaleOutputToNetFormat (const yarp::sig::Vector &x) const |
| Scale output to be used with the network. | |
| virtual yarp::sig::Vector | scaleOutputFromNetFormat (const yarp::sig::Vector &x) const |
| Scale back output from the network's format. | |
| Public Member Functions inherited from iCub::ctrl::ff2LayNN_tansig_purelin | |
| ff2LayNN_tansig_purelin () | |
| Create an empty network. | |
| ff2LayNN_tansig_purelin (const yarp::os::Property &options) | |
| Create and configure the network. | |
| virtual yarp::sig::Vector | hiddenLayerFcn (const yarp::sig::Vector &x) const |
| Hidden Layer Function. | |
| virtual yarp::sig::Vector | outputLayerFcn (const yarp::sig::Vector &x) const |
| Output Layer Function. | |
| virtual yarp::sig::Vector | hiddenLayerGrad (const yarp::sig::Vector &x) const |
| Gradient of the Hidden Layer Function. | |
| virtual yarp::sig::Vector | outputLayerGrad (const yarp::sig::Vector &x) const |
| Gradient of the Output Layer Function. | |
| Protected Member Functions inherited from iCub::ctrl::ff2LayNN | |
| void | prepare () |
| void | setItem (yarp::os::Property &options, const std::string &tag, const yarp::sig::Vector &item) const |
| bool | getItem (const yarp::os::Property &options, const std::string &tag, yarp::sig::Vector &item) const |
| Protected Attributes inherited from iCub::optimization::ff2LayNNTrain | |
| yarp::os::Property | bounds |
| void * | App |
| Protected Attributes inherited from iCub::ctrl::ff2LayNN | |
| std::deque< yarp::sig::Vector > | IW |
| yarp::sig::Vector | b1 |
| std::deque< yarp::sig::Vector > | LW |
| yarp::sig::Vector | b2 |
| std::deque< minmax > | inMinMaxX |
| std::deque< minmax > | inMinMaxY |
| std::deque< minmax > | outMinMaxX |
| std::deque< minmax > | outMinMaxY |
| yarp::sig::Vector | inMinX |
| yarp::sig::Vector | inMinY |
| yarp::sig::Vector | inRatio |
| yarp::sig::Vector | outMinX |
| yarp::sig::Vector | outMinY |
| yarp::sig::Vector | outRatio |
| bool | configured |
Detailed Description
Class to deal with training of Feed-Forward 2 layers Neural Network with a tansig function for the hidden nodes and a purelin for the output nodes.
Definition at line 113 of file neuralNetworks.h.
The documentation for this class was generated from the following file:
- icub-main/src/libraries/optimization/include/iCub/optimization/neuralNetworks.h
