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23' 2학기 딥러닝응용 수업 결과물

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.github/ISSUE_TEMPLATE
.github/ISSUE_TEMPLATE
 
 
data
data
 
 
01_0906_CarEval.ipynb
01_0906_CarEval.ipynb
 
 
01_0906_IRIS(regr).ipynb
01_0906_IRIS(regr).ipynb
 
 
01_0906_PumkinSeeds.ipynb
01_0906_PumkinSeeds.ipynb
 
 
01_0906_Salary.ipynb
01_0906_Salary.ipynb
 
 
01_0906_Wine.ipynb
01_0906_Wine.ipynb
 
 
02_0915_CarEval(FCN).ipynb
02_0915_CarEval(FCN).ipynb
 
 
02_0915_Linnerrud(Conv1D).ipynb
02_0915_Linnerrud(Conv1D).ipynb
 
 
02_0915_Linnerrud(FCN).ipynb
02_0915_Linnerrud(FCN).ipynb
 
 
02_0915_Linnerrud(RNN_LSTM).ipynb
02_0915_Linnerrud(RNN_LSTM).ipynb
 
 
02_0915_Raisin(Conv1D).ipynb
02_0915_Raisin(Conv1D).ipynb
 
 
02_0915_Raisin(FCN).ipynb
02_0915_Raisin(FCN).ipynb
 
 
02_0915_Raisin(RNN_LSTM).ipynb
02_0915_Raisin(RNN_LSTM).ipynb
 
 
02_0915_Salary(FCN).ipynb
02_0915_Salary(FCN).ipynb
 
 
03_0922_HAR(BiGRU).ipynb
03_0922_HAR(BiGRU).ipynb
 
 
03_0922_HAR(BiLSTM).ipynb
03_0922_HAR(BiLSTM).ipynb
 
 
03_0922_HAR(GRU).ipynb
03_0922_HAR(GRU).ipynb
 
 
03_0922_HAR(RF,LR,DT,SVM,LinearSVM).ipynb
03_0922_HAR(RF,LR,DT,SVM,LinearSVM).ipynb
 
 
03_0922_HAR(Sandbox).ipynb
03_0922_HAR(Sandbox).ipynb
 
 
03_0922_HAR(raw, LSTM,CNN).ipynb
03_0922_HAR(raw, LSTM,CNN).ipynb
 
 
04_1006_HAR(feature,CNN).ipynb
04_1006_HAR(feature,CNN).ipynb
 
 
04_1006_HAR(feature,CNN_LSTM).ipynb
04_1006_HAR(feature,CNN_LSTM).ipynb
 
 
04_1006_HAR(feature,LSTM_CNN).ipynb
04_1006_HAR(feature,LSTM_CNN).ipynb
 
 
04_1006_WISDM(LSTM_CNN).ipynb
04_1006_WISDM(LSTM_CNN).ipynb
 
 
05_1013_PAMAP2.ipynb
05_1013_PAMAP2.ipynb
 
 
06_1027_DelhiClimate(CNN).ipynb
06_1027_DelhiClimate(CNN).ipynb
 
 
06_1027_DelhiClimate(LSTM).ipynb
06_1027_DelhiClimate(LSTM).ipynb
 
 
06_1027_DelhiClimate(RNN) .ipynb
06_1027_DelhiClimate(RNN) .ipynb
 
 
06_1027_StockpricePredict(CNN).ipynb
06_1027_StockpricePredict(CNN).ipynb
 
 
06_1027_StockpricePredict(LSTM).ipynb
06_1027_StockpricePredict(LSTM).ipynb
 
 
06_1027_StockpricePredict(RNN).ipynb
06_1027_StockpricePredict(RNN).ipynb
 
 
07_1103_FraudDetection(AE).ipynb
07_1103_FraudDetection(AE).ipynb
 
 
07_1103_FraudDetection(Conv_AE).ipynb
07_1103_FraudDetection(Conv_AE).ipynb
 
 
07_1103_FraudDetection(DAE).ipynb
07_1103_FraudDetection(DAE).ipynb
 
 
07_1103_FraudDetection(GAN).ipynb
07_1103_FraudDetection(GAN).ipynb
 
 
07_1103_FraudDetection(Sparse_AE).ipynb
07_1103_FraudDetection(Sparse_AE).ipynb
 
 
07_1103_FraudDetection(VAE).ipynb
07_1103_FraudDetection(VAE).ipynb
 
 
08_1110_WISDM(AE).ipynb
08_1110_WISDM(AE).ipynb
 
 
08_1110_WISDM(DAE).ipynb
08_1110_WISDM(DAE).ipynb
 
 
08_1110_WISDM(LSTM_AE).ipynb
08_1110_WISDM(LSTM_AE).ipynb
 
 
09_1117_WISDM(Vanila_GAN).ipynb
09_1117_WISDM(Vanila_GAN).ipynb
 
 
README.md
README.md
 
 

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23' 2학기 딥러닝응용

2학기 딥러닝응용 repository

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23' 2학기 딥러닝응용 수업 결과물

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lstm gan ae rnn fcn conv1d

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