public void UpdateWeights(IWeightUpdater weightUpdater) { foreach (BetaSimilarity[] betaSimilarities in _oldSimilarities) { foreach (BetaSimilarity betaSimilarity in betaSimilarities) { weightUpdater.UpdateWeight(betaSimilarity.BetaSimilarityMeasure); } } weightUpdater.UpdateWeight(Data); }
public NeuralTuringMachine(int inputSize, int outputSize, int controllerSize, int headCount, int memoryColumnsN, int memoryRowsM, IWeightUpdater initializer) { _memory = new NTMMemory(memoryColumnsN, memoryRowsM, headCount); _controller = new FeedForwardController(controllerSize, inputSize, outputSize, headCount, memoryRowsM); UpdateWeights(initializer); }
public void UpdateWeights(IWeightUpdater weightUpdater) { _memory.UpdateWeights(weightUpdater); _controller.UpdateWeights(weightUpdater); }
public void UpdateWeights(IWeightUpdater weightUpdater) { weightUpdater.UpdateWeight(_hiddenToOutputLayerWeights); weightUpdater.UpdateWeight(_hiddenToHeadsWeights); }
public void UpdateWeights(IWeightUpdater weightUpdater) { OutputLayer.UpdateWeights(weightUpdater); HiddenLayer.UpdateWeights(weightUpdater); }
public void UpdateWeights(IWeightUpdater weightUpdater) { weightUpdater.UpdateWeight(_readDataToHiddenLayerWeights); weightUpdater.UpdateWeight(_inputToHiddenLayerWeights); weightUpdater.UpdateWeight(_hiddenLayerThresholds); }
public BPTTTeacher(NeuralTuringMachine machine, IWeightUpdater weightUpdater) { _machine = machine; _weightUpdater = weightUpdater; _gradientResetter = new GradientResetter(); }