·MachineLearning(ML)-機器學習4)ConvolutionalNeuralNetwork(CNN)-卷積神9)GenerativeAdversarialNetwork(GAN)-生成對抗網絡4)ConvolutionalNeuralNet9)DecisionTreeAlgori2)MachineLearningMod2)TrainingDataset-訓練數據集12)TrainingBatch-訓練·SupervisedLearning-有監督學習·UnsupervisedLearning-無監督學習·ReinforcementLearning-強化學習·Semi-SupervisedLearning-半監督學習20)OrdinalFeature-有序特征2.NeuralNetworksandDeepLearning(神經網絡與深度學習)·ConvolutionalNeuralNetwork(CNN)-卷積神經網絡·RecurrentNeuralNetwork(RNN)-循環神經網絡·LongShort-TermMemory(LSTM)-長短期記憶網絡16)NamedEntity·AttentionMechanism-注意力機制9)Dot-ProductAttenti·GenerativeAdversarialNetwork(GAN)-生成對抗網絡3)Discriminator·Encoder-Decoder-編碼器-解碼器4)Sequence-to-Sequence5)DomainAdaptation-領域自適應20)AdversarialTransferLearning-對抗遷移·Pre-trainedModels-預訓練模型8)LanguageModel-9)WassersteinDistance-Wasserstein距離·ActivationFunction-激活函數5)ParametricReLU(PReLU)-參數化ReLU6)ExponentialLinearUnit(ELU)-指數線性單元9)SoftmaxFunction-SoftMax函數14)CELU(ContinuousExponentialLinearUnit)-CELU(連續指數線性3)LearningRateD6)Momentum-動量4)StochasticGr·Epoch-訓練周期3.MachineLearningTechniquesandAlgorithms(機器學習技術與算法)·DecisionTree-決策樹·K-NearestNeighbors(KNN)-K-最近鄰·NaiveBayes-樸素貝葉斯2)Centroid-質心9)DBSCAN(Density-BasedSpatialClusteringofApplicationswithNoise)-基于密度的·PrincipalComponentAnalysis(PCA)-主成分分析·AnomalyDetection-異常檢測4.ApplicationsofAIandML(人工智能與機器學習的應用)·NaturalLanguageProcessing(NLP)-自然語言處理·ComputerVision-計算機視覺·AutonomousVehicles-自動駕駛汽車·TimeSeriesAnalysis-時間序列分析2)ExplainableArtificial