DaNNet
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▼Ndnn | |
Cact_LReLU | Leaky ReLU activation class |
Cact_ReLU | ReLU activation class |
Cact_sigmoid | Sigmoid activation class |
Cact_softmax | Softmax activation class |
Cact_softplus | Softplus activation class |
Cact_tanh | Tanh activation class |
Ccost_CE | Cross Entropy cost/output layer class with linear activation |
Ccost_CE_sigmoid | Cross Entropy cost/output layer class with sigmoid activation |
Ccost_CE_softmax | Cross Entropy cost/output layer class with softmax activation |
Ccost_MSE | Mean Square Error cost/output layer class |
Ccost_MSE_sigmoid | Mean Square Error cost/output layer class with sigmoid activation |
Clayer | Layer base class |
Clayer_act | Activation layer base class |
Clayer_conv | A convolution layer class |
Clayer_cost | Cost/output layer base class |
Clayer_dense | A fully connected/dense layer class |
Clayer_drop | Dropout layer class |
Clayer_input | Input/data layer class |
Clayer_norm | Batch normalization layer class |
Clayer_pool | Pooling layer base class |
Cnet | Neural netowork model class |
Copt | Optimizer base class |
Copt_adadelta | ADAdelta optimizer class |
Copt_adagrad | ADAgrad optimizer class |
Copt_adam | ADAM optimizer class |
Copt_adamax | ADAMax optimizer class |
Copt_rmsprop | RMSprop optimizer class |
Copt_SGD | Stochastic Gradient Descent optimizer class |
Copt_SGD_momentum | Stochastic Gradient Descent with momentum optimizer class |
Copt_SGD_nesterov | Stochastic Gradient Descent with Nesterov momentum optimizer class |
Cpool_average | Average pooling layer class |
Cpool_max | Max pooling layer class |