Name		Name	Last commit message	Last commit date
Keras 창시자로부터 배우는 TensorFlow 2.0 + Keras 특강.ipynb		Keras 창시자로부터 배우는 TensorFlow 2.0 + Keras 특강.ipynb
Lab-02. Simple Linear Regression.ipynb		Lab-02. Simple Linear Regression.ipynb
Lab-03. Linear Regression and Minimizing Cost.ipynb		Lab-03. Linear Regression and Minimizing Cost.ipynb
Lab-04. Multi-variable Linear Regression.ipynb		Lab-04. Multi-variable Linear Regression.ipynb
Lab-05-02 Logistic Regression-Diabetes.ipynb		Lab-05-02 Logistic Regression-Diabetes.ipynb
Lab-05-1 Logistic Regression.ipynb		Lab-05-1 Logistic Regression.ipynb
Lab-06-01 Softmax Classifier.ipynb		Lab-06-01 Softmax Classifier.ipynb
Lab-06. Softmax Zoo Classifier.ipynb		Lab-06. Softmax Zoo Classifier.ipynb
Lab-07-1. Learning Rate and Evaluation.ipynb		Lab-07-1. Learning Rate and Evaluation.ipynb
README.md		README.md
RL_1_Play FrozenLake		RL_1_Play FrozenLake
RL_2_Dummy_FrozenLakeDet_QTable		RL_2_Dummy_FrozenLakeDet_QTable
RL_3_FrozenLakeDet_QTable		RL_3_FrozenLakeDet_QTable
RL_4_Play FrozenLake Slippery		RL_4_Play FrozenLake Slippery
RL_5_FrozenLake_QTable Stochastic		RL_5_FrozenLake_QTable Stochastic
RL_6_FrozenLake_QTable Stochastic2		RL_6_FrozenLake_QTable Stochastic2
RL_7_FrozenLake QNetwork		RL_7_FrozenLake QNetwork
RL_8_PlayingCartPole		RL_8_PlayingCartPole
RL_8_PlayingCartPoleRandom		RL_8_PlayingCartPoleRandom
RL_9_PlayingCartPole DQN		RL_9_PlayingCartPole DQN
Rendering OpenAi Gym in Colaboratory.ipynb		Rendering OpenAi Gym in Colaboratory.ipynb
StockPrediction.ipynb		StockPrediction.ipynb
Stock_Prediction_SamsungElectronics.ipynb		Stock_Prediction_SamsungElectronics.ipynb
data-01-test-score.csv		data-01-test-score.csv
data-02-stock_daily.csv		data-02-stock_daily.csv
data-03-diabetes.csv		data-03-diabetes.csv
data-04-zoo.csv		data-04-zoo.csv
lab-07-2-linear_regression_without_min_max.ipynb		lab-07-2-linear_regression_without_min_max.ipynb
lab-07-3-linear_regression_eager (preprocess, decay, l2_loss).ipynb		lab-07-3-linear_regression_eager (preprocess, decay, l2_loss).ipynb
lab-07-4-mnist_introduction.ipynb		lab-07-4-mnist_introduction.ipynb
lab-07-5-fashion-mnist_introduction.ipynb		lab-07-5-fashion-mnist_introduction.ipynb
lab-07-6-IMDB-introduction.ipynb		lab-07-6-IMDB-introduction.ipynb
lab-09-1-XOR-eager.ipynb		lab-09-1-XOR-eager.ipynb
lab-09-2-XOR-NN-eager.ipynb		lab-09-2-XOR-NN-eager.ipynb
lab-09-3-XOR-NN-Wide-Deep-eager.ipynb		lab-09-3-XOR-NN-Wide-Deep-eager.ipynb
lab-09-4-XOR-tensorboard-eager.ipynb		lab-09-4-XOR-tensorboard-eager.ipynb
lab-10-1-1-mnist_nn_softmax.ipynb		lab-10-1-1-mnist_nn_softmax.ipynb
lab-10-1-2-mnist_nn_relu.ipynb		lab-10-1-2-mnist_nn_relu.ipynb
lab-10-2-1-mnist_nn_xavier.ipynb		lab-10-2-1-mnist_nn_xavier.ipynb
lab-10-2-2-mnist_nn_deep.ipynb		lab-10-2-2-mnist_nn_deep.ipynb
lab-10-3-mnist_nn_dropout.ipynb		lab-10-3-mnist_nn_dropout.ipynb
lab-10-4-mnist_nn_batchnorm.ipynb		lab-10-4-mnist_nn_batchnorm.ipynb
lab-11-0-cnn-basics-keras-eager.ipynb		lab-11-0-cnn-basics-keras-eager.ipynb
lab-11-1-mnist-cnn-keras-sequential-eager.ipynb		lab-11-1-mnist-cnn-keras-sequential-eager.ipynb
lab-11-2-mnist-cnn-keras-functional-eager.ipynb		lab-11-2-mnist-cnn-keras-functional-eager.ipynb
lab-11-3-mnist-cnn-keras-subclassing-eager.ipynb		lab-11-3-mnist-cnn-keras-subclassing-eager.ipynb
lab-11-4-mnist-cnn-ensemble-keras-eager.ipynb		lab-11-4-mnist-cnn-ensemble-keras-eager.ipynb
lab-11-5-mnist-cnn-best-keras-eager.ipynb		lab-11-5-mnist-cnn-best-keras-eager.ipynb
lab-12-0-rnn-basics-keras-eager.ipynb		lab-12-0-rnn-basics-keras-eager.ipynb
lab-12-1-many-to-one-keras-eager.ipynb		lab-12-1-many-to-one-keras-eager.ipynb
lab-12-2-many-to-one-stacking-keras-eager.ipynb		lab-12-2-many-to-one-stacking-keras-eager.ipynb
lab-12-3-many-to-many-keras-eager.ipynb		lab-12-3-many-to-many-keras-eager.ipynb
lab-12-4-many-to-many-bidirectional-keras-eager.ipynb		lab-12-4-many-to-many-bidirectional-keras-eager.ipynb
lab-12-5-seq-to-seq-keras-eager.ipynb		lab-12-5-seq-to-seq-keras-eager.ipynb
lab-12-6-seq-to-seq-with-attention-keras-eager.ipynb		lab-12-6-seq-to-seq-with-attention-keras-eager.ipynb
lab-12-7-bonus-seq-to-seq-with-attention-chatbot-keras-eager.ipynb		lab-12-7-bonus-seq-to-seq-with-attention-chatbot-keras-eager.ipynb
stock_prediction_samsung.ipynb		stock_prediction_samsung.ipynb
실습_1_fashion_mnist_classification.ipynb		실습_1_fashion_mnist_classification.ipynb
실습_1_mnist_classification.ipynb		실습_1_mnist_classification.ipynb
실습_2 회귀 문제-자동차 연비 예측하기.ipynb		실습_2 회귀 문제-자동차 연비 예측하기.ipynb
실습_3_과대적합_과소적합.ipynb		실습_3_과대적합_과소적합.ipynb
실습_4_저장과_로드.ipynb		실습_4_저장과_로드.ipynb
실습_5_영화리뷰를사용한텍스트분류.ipynb		실습_5_영화리뷰를사용한텍스트분류.ipynb

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DeepLearningZeroToAllTF2Colab

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