protected void CreateNeuralNetwork(MathOperationManager mathManager, NeuralNetworkConfiguration configuration) { this.mathManager = mathManager; this.configuration = configuration; this.currentEpoch = 0; this.currentBatchSize = NeuralNetworkConfiguration.defaultBatchSize; this.neuralLayers = new List <NeuralLayer>(); this.biasGradientAccumulator = this.mathManager.CreateMatrix(Enumerable.Repeat <float>(1, this.currentBatchSize).ToArray(), this.currentBatchSize); this.CreateNetworkArchitecture(); }
private static void DNN(IEnumerable <BatchInputWrapper> trainData, IEnumerable <BatchInputWrapper> cvData) { using (MathOperationManager mathManager = new MathOperationManager(MathType.GPU)) { var hiddenLayers = new List <int>(); hiddenLayers.Add(100); hiddenLayers.Add(100); NeuralNetworkConfiguration config = new NeuralNetworkConfiguration(784, hiddenLayers, 10); config.Epochs = 100; config.StepSize = (float)1.5; //config.Activation = NeuronActivationType.ReLu; using (NeuralNetwork dnn = new NeuralNetwork(mathManager, config)) { dnn.MiniBatchStochasticGradientDescent(trainData, cvData); } } }
private static void DNN(IEnumerable<BatchInputWrapper> trainData, IEnumerable<BatchInputWrapper> cvData) { using (MathOperationManager mathManager = new MathOperationManager(MathType.GPU)) { var hiddenLayers = new List<int>(); hiddenLayers.Add(100); hiddenLayers.Add(100); NeuralNetworkConfiguration config = new NeuralNetworkConfiguration(784, hiddenLayers, 10); config.Epochs = 100; config.StepSize = (float)1.5; //config.Activation = NeuronActivationType.ReLu; using (NeuralNetwork dnn = new NeuralNetwork(mathManager, config)) { dnn.MiniBatchStochasticGradientDescent(trainData, cvData); } } }
public NeuralNetwork(MathOperationManager mathManager, NeuralNetworkConfiguration configuration) { this.CreateNeuralNetwork(mathManager, configuration); }
protected void CreateNeuralNetwork(MathOperationManager mathManager, NeuralNetworkConfiguration configuration) { this.mathManager = mathManager; this.configuration = configuration; this.currentEpoch = 0; this.currentBatchSize = NeuralNetworkConfiguration.defaultBatchSize; this.neuralLayers = new List<NeuralLayer>(); this.biasGradientAccumulator = this.mathManager.CreateMatrix(Enumerable.Repeat<float>(1, this.currentBatchSize).ToArray(), this.currentBatchSize); this.CreateNetworkArchitecture(); }
public NeuralNetworkStore(NeuralNetworkConfiguration configuration, IEnumerable <float[]> matrixDataList, IEnumerable <float[]> biasDataList) { this.Configuration = configuration; this.MatrixDataList = matrixDataList; this.BiasDataList = biasDataList; }
public NeuralNetworkStore(NeuralNetworkConfiguration configuration, IEnumerable<float[]> matrixDataList, IEnumerable<float[]> biasDataList) { this.Configuration = configuration; this.MatrixDataList = matrixDataList; this.BiasDataList = biasDataList; }