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AE(Auto_Encoder).ipynb
AE(Auto_Encoder).ipynb
 
 
Assignment_Transfer_L_cifar_10.ipynb
Assignment_Transfer_L_cifar_10.ipynb
 
 
CNN_Kaggle_data.ipynb
CNN_Kaggle_data.ipynb
 
 
CNN_MNIST.ipynb
CNN_MNIST.ipynb
 
 
DCGAN.ipynb
DCGAN.ipynb
 
 
Linear_Regression(tensorflow).ipynb
Linear_Regression(tensorflow).ipynb
 
 
Linear_Regression.ipynb
Linear_Regression.ipynb
 
 
Logistic_Regression.ipynb
Logistic_Regression.ipynb
 
 
MNIST_손글씨_인식하기(기본_프레임).ipynb
MNIST_손글씨_인식하기(기본_프레임).ipynb
 
 
MNIST_손글씨_인식하기(데이터_전처리).ipynb
MNIST_손글씨_인식하기(데이터_전처리).ipynb
 
 
MNIST_손글씨_인식하기_컨볼루션_신경망_적용.ipynb
MNIST_손글씨_인식하기_컨볼루션_신경망_적용.ipynb
 
 
Pandas_assignment.ipynb
Pandas_assignment.ipynb
 
 
Perceptron.ipynb
Perceptron.ipynb
 
 
README.md
README.md
 
 
RNN(LSTM_&_CNN).ipynb
RNN(LSTM_&_CNN).ipynb
 
 
RNN(attention).ipynb
RNN(attention).ipynb
 
 
RNN.ipynb
RNN.ipynb
 
 
XAI(Explainable_AI).ipynb
XAI(Explainable_AI).ipynb
 
 
assignment[1].ipynb
assignment[1].ipynb
 
 
caffeine.csv
caffeine.csv
 
 
divisor.ipynb
divisor.ipynb
 
 
heart disease classification dataset.csv
heart disease classification dataset.csv
 
 
isnumeric.ipynb
isnumeric.ipynb
 
 
selection_sort.ipynb
selection_sort.ipynb
 
 
transfer_learning.ipynb
transfer_learning.ipynb
 
 
신경망으로_음료수_구분하기.ipynb
신경망으로_음료수_구분하기.ipynb
 
 
심장병이_발병_예측(K_fold_Cross_validation).ipynb
심장병이_발병_예측(K_fold_Cross_validation).ipynb
 
 
심장병이_발병_예측.ipynb
심장병이_발병_예측.ipynb
 
 
아이리스_품종_예측.ipynb
아이리스_품종_예측.ipynb
 
 
자연어처리.ipynb
자연어처리.ipynb
 
 
전이_학습으로_모델_성능_극대화하기.ipynb
전이_학습으로_모델_성능_극대화하기.ipynb
 
 
폐암_수술_환자의_생존율_예측.ipynb
폐암_수술_환자의_생존율_예측.ipynb
 
 
피마_인디언의_당뇨병_예측.ipynb
피마_인디언의_당뇨병_예측.ipynb
 
 

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Python_DeepLearning_practice

MINYONG PARK

이 문서는 모두의 딥러닝 개정 3판을 이용하여 연습한 예제들과 개인적인 과제들입니다.

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