tensorflow_work

코세라 coursera의 데이터와 연습문제를 이용해서 tensorflow 예제를 만들어 본다.

본 연습문제 진행 시 홍콩 과기대 김성훈교수님의 강의 자료를 참조했다.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
MNIST_data		MNIST_data
logs		logs
ML Lec 01.ipynb		ML Lec 01.ipynb
ML Lec 02.ipynb		ML Lec 02.ipynb
ML Lec 03.ipynb		ML Lec 03.ipynb
ML Lec 04-1-Linear Regression.ipynb		ML Lec 04-1-Linear Regression.ipynb
ML Lec 04-Linear Regression.ipynb		ML Lec 04-Linear Regression.ipynb
ML Lec 05-Logistic Regression.ipynb		ML Lec 05-Logistic Regression.ipynb
ML Lec 06-multinomial regression.ipynb		ML Lec 06-multinomial regression.ipynb
ML Lec 07-학습 rate, Overfitting, 그리고 일반화.ipynb		ML Lec 07-학습 rate, Overfitting, 그리고 일반화.ipynb
ML Lec 07-학습 rate, Overfitting, 그리고 일반화.ipynb		ML Lec 07-학습 rate, Overfitting, 그리고 일반화.ipynb
ML Lec 08-tensorboard.ipynb		ML Lec 08-tensorboard.ipynb
ML Lec 08-using_nn.ipynb		ML Lec 08-using_nn.ipynb
ML Lec 09-using relu.ipynb		ML Lec 09-using relu.ipynb
ML Lec 11-convNet.ipynb		ML Lec 11-convNet.ipynb
ML Lec 12-rnn.ipynb		ML Lec 12-rnn.ipynb
README.md		README.md
ex1data2.txt		ex1data2.txt
ex2data1.txt		ex2data1.txt
ex2data2.txt		ex2data2.txt
ex3data1.mat		ex3data1.mat
ex3weights.mat		ex3weights.mat
lab05-train.txt		lab05-train.txt
test.py		test.py
train.txt		train.txt

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