Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 12]

▼NNNFS
CActivation	Base class for all activation functions
CAdagrad	Adagrad optimizer (Adaptive Gradient)
CAdam	Adam optimizer - Adaptive Moment Estimation, one of the most popular and efficient gradient-based optimization algorithms
CCCE	Cross-entropy loss function
CCCESoftmax	Cross-entropy loss function with softmax activation
CDense	Dense layer
CLayer	Base class for all layers
CLoss	Base class for all loss functions
CMetrics	Metrics class
CModel	Abstract base class for the model in a neural network
CNeuralNetwork	A neural network model
COptimizer	Base class for all optimizers
CReLU	ReLU activation function
CRMSProp	Root Mean Square Propagation optimizer
CSGD	Stochastic Gradient Descent optimizer
CSigmoid	Sigmoid activation function
CSoftmax	Softmax activation function
CTanh
CAdagradTest
CAdamTest
CCanvas	Custom widget for drawing on a canvas
CCCESoftmaxTest
CCCETest
CDenseTest
CMetricsTest
COptimizerTest
CPaint	Painting application
CReLUTest
CRMSpropTest
CSGDTest
CSigmoidTest
CSoftmaxTest
CTanhTest
CTestCanvas