TarzaNN
TarzaNN neural network simulator
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createLayer(float weight, int dirs, int scales, QString layerName, int layerType) | NetworkFactory | |
NetworkFactory(Network *nn) | NetworkFactory | |
tmpltInputFeaturePlane(QString *fpName, QString *fileName, QString *taskFileName, float min_activation, float max_activation, bool scale, bool visible, bool isST) | NetworkFactory | |
tmpltInputLearningFeaturePlane(QString *fpName, QString *fileName, QString *taskFileName, float min_activation, float max_activation, bool scale, bool visible, bool isST, int levels) | NetworkFactory | |
tmpltInputScales(QString *fpName, QString *inputBaseName, int w, int h, int scales, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltLGN(QString *fpName, QString *inputBaseName, int w, int h, int scales, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltMST_R(QString *fpName, QString *inputBaseName, int w, int h, int scales, int angles, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltMST_T(QString *fpName, QString *inputBaseName, int w, int h, int scales, int angles, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltMT_R(QString *fpName, QString *inputBaseName, int w, int h, int scales, int angles, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltMT_T(QString *fpName, QString *inputBaseName, int w, int h, int scales, int angles, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltMultiInputFeaturePlane(QString *fpName, QString *fileName, QString *taskFileName, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltSTSOMLayer(QString *fpName, QString *inputBaseName, int w, int h, int scales, int angles, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA, bool learning) | NetworkFactory | |
tmpltV1Edges(QString *fpName, QString *inputBaseName, int w, int h, int scales, int angles, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltV1Motion(QString *fpName, QString *inputBaseName, int w, int h, int scales, int angles, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltV2Circle(QString *fpName, QString *inputBaseName, int w, int h, int scales, int angles, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltV2EndStopped(QString *fpName, QString *inputBaseName, int w, int h, int scales, int angles, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltV2Plus(QString *fpName, QString *inputBaseName, int w, int h, int scales, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
tmpltV2X(QString *fpName, QString *inputBaseName, int w, int h, int scales, int neuronType, float nParam1, float nParam2, float wta_theta, float min_activation, float max_activation, bool scale, bool visible, bool isWTA) | NetworkFactory | |
~NetworkFactory(void) | NetworkFactory |