Classes
class	CscNeuralNetwork

class	CscNeuralNetworkBuilderTensorFlow

class	CscNeuralNetworkGeneticAlgorithm

class	CscNeuralNetworkGeneticAlgorithmGenerationGenerator
	Generates generations for a neural network genetic algorithm. More...

class	CscNeuralNetworkGeneticAlgorithmIndividualGenerator

class	CscNeuralNetworkPersistenceTensorFlow

class	CscNeuralNetworkTensorFlow

Enumerations
enum	CscNeuralNetworkType { DenseNeuralNetwork = 0, RecurrentNeuralNetwork = 1 }

enum	CscActivationFunction { Linear = 0, Sigmoid = 1, Tanh = 2, Elu = 3, Relu = 4, Relu6, Selu, LeakyRelu, Acosh, Asin, Asinh, Atan, Atanh, Sinh, Ceil, Erf, Exp, Expm1, Floor, Log, Log1p, Rint, Sign, Softsign, Softplus, Sqrt }

enum	CscLossFunction { MeanSquaredError = 0, MeanAbsoluteError = 1, HingeLoss = 2 }

enum	CscInitializationWeightsStrategy { WeightsLoadFromModel, He, GlorotUniform, GlorotNormal, LeCunNormal }

enum	CscInitializationBiasStrategy { BiasesLoadFromModel, Zero, LittleValue }

enum	CscNormalizationType { RangeMinus1To1, Range0To1 }

enum	CscOptimizer { GradientDescent, Adagrad, Adadelta, Adam }

enum	CscHyperparameter { NeuralNetworkType = 0, NbHiddenLayers = 1, NbNeuronsPerHiddenLayer = 2, HiddenLayerActivationFunction, OutputLayerActivationFunction, LossFunction, InitializationWeightsStrategy, InitializationBiasesStrategy, LearningRate, NbDataPerMiniBatch, COUNT }

enum	CscGeneticOperator { Copy = 0, Crossover = 1, Mutation = 2, Random = 3 }

Enumeration Type Documentation

◆ CscActivationFunction

Enumerator
NeuralNetworkType
NbHiddenLayers
NbNeuronsPerHiddenLayer
HiddenLayerActivationFunction
OutputLayerActivationFunction
LossFunction
InitializationWeightsStrategy
InitializationBiasesStrategy
LearningRate
NbDataPerMiniBatch
COUNT

Enumerator
DenseNeuralNetwork
RecurrentNeuralNetwork

Enumerator
RangeMinus1To1
Range0To1

Conscience Core