DaNNet
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Layer functions. More...
Classes | |
class | dnn::layer_act |
Activation layer base class. More... | |
class | dnn::act_sigmoid |
Sigmoid activation class. More... | |
class | dnn::act_softplus |
Softplus activation class. More... | |
class | dnn::act_ReLU |
ReLU activation class. More... | |
class | dnn::act_LReLU |
Leaky ReLU activation class. More... | |
class | dnn::act_tanh |
tanh activation class More... | |
class | dnn::act_softmax |
Softmax activation class. More... | |
class | dnn::layer |
Layer base class. More... | |
class | dnn::layer_conv |
A convolution layer class. More... | |
class | dnn::layer_cost |
Cost/output layer base class. More... | |
class | dnn::cost_MSE |
Mean Square Error cost/output layer class. More... | |
class | dnn::cost_MSE_sigmoid |
Mean Square Error cost/output layer class with sigmoid activation. More... | |
class | dnn::cost_CE |
Cross Entropy cost/output layer class with linear activation. More... | |
class | dnn::cost_CE_sigmoid |
Cross Entropy cost/output layer class with sigmoid activation. More... | |
class | dnn::cost_CE_softmax |
Cross Entropy cost/output layer class with softmax activation. More... | |
class | dnn::layer_dense |
A fully connected/dense layer class. More... | |
class | dnn::layer_drop |
Dropout layer class. More... | |
class | dnn::layer_input |
Input/data layer class. More... | |
class | dnn::layer_norm |
Batch normalization layer class. More... | |
class | dnn::layer_pool |
Pooling layer base class. More... | |
class | dnn::pool_max |
Max pooling layer class. More... | |
class | dnn::pool_average |
Average pooling layer class. More... | |
Layer functions.