DaNNet
Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 12]
 Ndnn
 Cact_LReLULeaky ReLU activation class
 Cact_ReLUReLU activation class
 Cact_sigmoidSigmoid activation class
 Cact_softmaxSoftmax activation class
 Cact_softplusSoftplus activation class
 Cact_tanhTanh activation class
 Ccost_CECross Entropy cost/output layer class with linear activation
 Ccost_CE_sigmoidCross Entropy cost/output layer class with sigmoid activation
 Ccost_CE_softmaxCross Entropy cost/output layer class with softmax activation
 Ccost_MSEMean Square Error cost/output layer class
 Ccost_MSE_sigmoidMean Square Error cost/output layer class with sigmoid activation
 ClayerLayer base class
 Clayer_actActivation layer base class
 Clayer_convA convolution layer class
 Clayer_costCost/output layer base class
 Clayer_denseA fully connected/dense layer class
 Clayer_dropDropout layer class
 Clayer_inputInput/data layer class
 Clayer_normBatch normalization layer class
 Clayer_poolPooling layer base class
 CnetNeural netowork model class
 CoptOptimizer base class
 Copt_adadeltaADAdelta optimizer class
 Copt_adagradADAgrad optimizer class
 Copt_adamADAM optimizer class
 Copt_adamaxADAMax optimizer class
 Copt_rmspropRMSprop optimizer class
 Copt_SGDStochastic Gradient Descent optimizer class
 Copt_SGD_momentumStochastic Gradient Descent with momentum optimizer class
 Copt_SGD_nesterovStochastic Gradient Descent with Nesterov momentum optimizer class
 Cpool_averageAverage pooling layer class
 Cpool_maxMax pooling layer class