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Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 123]
oNgen
|\CGeneticAlgoGenetic algorithms used to produce fit neural networks
oNnet
|oCAdadeltaAn adaptive learning rate Trainer (Zeiler)
|oCBackpropagationA classic SGDTrainer
|oCLayerA layer in a NeuralNet
|oCNeuralNetA neural network
|oCNeuronA neuron in a Layer of a NeuralNet
|oCPrunerRemoves unnecessary neurons from a NeuralNet
|oCSGDTrainerA classic backpropagation SGD Trainer
|\CTrainerTrains neural networks
oNrl
|oCFidoControlSystemA highly effective reinforcement learning control system (Truell and Gruenstein)
||\CHistory
|oCWireA multi-dimensional data point
|oCInterpolatorAn interpolator of multi-dimensional data points
|oCLearnerA reinforcement learning system
|oCLSInterpolatorA least squares wire fitted Interpolator
|oCModel
|oCQLearnA Learner that follows the Q-Learning algorithm
|\CWireFitQLearnA Learner using Q-learning that works with continous state action spaces (Gaskett et al.)
oCEmitter
oCLine
oCRobby
oCSimlinkA robotic simulator
\CTDVect