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23_Time-Series-Prediction.ipynb		23_Time-Series-Prediction.ipynb
CNN_FashionMNIST(keras).ipynb		CNN_FashionMNIST(keras).ipynb
Kaggle_practice_Bank_Marketing.ipynb		Kaggle_practice_Bank_Marketing.ipynb
Kaggle_practice_Household_Electric_Power_Consumptionipynb.ipynb		Kaggle_practice_Household_Electric_Power_Consumptionipynb.ipynb
Lab02_Text_Classification(IMDB).ipynb		Lab02_Text_Classification(IMDB).ipynb
README.md		README.md
RL_1_Play_FrozenLake.ipynb		RL_1_Play_FrozenLake.ipynb
RL_2_Dummy_FrozenLakeDet_QTable.ipynb		RL_2_Dummy_FrozenLakeDet_QTable.ipynb
RL_3_FrozenLakeDet_QTable.ipynb		RL_3_FrozenLakeDet_QTable.ipynb
RL_4_Play_FrozenLake_Slippery.ipynb		RL_4_Play_FrozenLake_Slippery.ipynb
RL_5_FrozenLake_QTable_Stochastic.ipynb		RL_5_FrozenLake_QTable_Stochastic.ipynb
RL_6_FrozenLake_QTable_Stochastic2.ipynb		RL_6_FrozenLake_QTable_Stochastic2.ipynb
RL_7_FrozenLake_QNetwork.ipynb		RL_7_FrozenLake_QNetwork.ipynb
RL_8_PlayingCartPole.ipynb		RL_8_PlayingCartPole.ipynb
RL_8_PlayingCartPoleRandom.ipynb		RL_8_PlayingCartPoleRandom.ipynb
RL_9_PlayingCartPole_DQN.ipynb		RL_9_PlayingCartPole_DQN.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-01-basics.ipynb		lab-01-basics.ipynb
lab-02-1-linear_regression(keras).ipynb		lab-02-1-linear_regression(keras).ipynb
lab-02-1-linear_regression.ipynb		lab-02-1-linear_regression.ipynb
lab-02-2-linear_regression_feed.ipynb		lab-02-2-linear_regression_feed.ipynb
lab-03-1-minimizing_cost_show_graph.ipynb		lab-03-1-minimizing_cost_show_graph.ipynb
lab-03-2-minimizing_cost_gradient_update.ipynb		lab-03-2-minimizing_cost_gradient_update.ipynb
lab-04-1-multi_variable_linear_regression(keras).ipynb		lab-04-1-multi_variable_linear_regression(keras).ipynb
lab-04-1-multi_variable_linear_regression.ipynb		lab-04-1-multi_variable_linear_regression.ipynb
lab-04-2-multi_variable_linear_regression.ipynb		lab-04-2-multi_variable_linear_regression.ipynb
lab-04-3-file_input_linear_regression.ipynb		lab-04-3-file_input_linear_regression.ipynb
lab-05-1-logistic_regression(keras).ipynb		lab-05-1-logistic_regression(keras).ipynb
lab-05-1-logistic_regression.ipynb		lab-05-1-logistic_regression.ipynb
lab-05-2-logistic-regression-diabetes(keras).ipynb		lab-05-2-logistic-regression-diabetes(keras).ipynb
lab-06-1-softmax_classifier(keras).ipynb		lab-06-1-softmax_classifier(keras).ipynb
lab-06-1-softmax_classifier.ipynb		lab-06-1-softmax_classifier.ipynb
lab-06-2-softmax_classifier_zoo(keras).ipynb		lab-06-2-softmax_classifier_zoo(keras).ipynb
lab-06-softmax_classifier_zoo.ipynb		lab-06-softmax_classifier_zoo.ipynb
lab-07-1-learning_rate_and_evaluation.ipynb		lab-07-1-learning_rate_and_evaluation.ipynb
lab-07-2-linear_regression_without_min_max.ipynb		lab-07-2-linear_regression_without_min_max.ipynb
lab-07-3-linear_regression_min_max(keras).ipynb		lab-07-3-linear_regression_min_max(keras).ipynb
lab-07-3-linear_regression_min_max.ipynb		lab-07-3-linear_regression_min_max.ipynb
lab-07-4-mnist_introduction.ipynb		lab-07-4-mnist_introduction.ipynb
lab-08-tensor_manipulation.ipynb		lab-08-tensor_manipulation.ipynb
lab-09-03-xor-nn-wide-deep-relu.ipynb		lab-09-03-xor-nn-wide-deep-relu.ipynb
lab-09-03-xor-nn-wide-deep.ipynb		lab-09-03-xor-nn-wide-deep.ipynb
lab-09-1-xor.ipynb		lab-09-1-xor.ipynb
lab-09-2-xor-nn.ipynb		lab-09-2-xor-nn.ipynb
lab-10-2-mnist_nn.ipynb		lab-10-2-mnist_nn.ipynb
lab-10-3-mnist_nn_xavier.ipynb		lab-10-3-mnist_nn_xavier.ipynb
lab-10-4-mnist_nn_deep.ipynb		lab-10-4-mnist_nn_deep.ipynb
lab-10-5-mnist_nn_dropout.ipynb		lab-10-5-mnist_nn_dropout.ipynb
lab-10-5-mnist_nn_dropout_xavier.ipynb		lab-10-5-mnist_nn_dropout_xavier.ipynb
lab-11-0-cnn_basics.ipynb		lab-11-0-cnn_basics.ipynb
lab-11-2-cnn_class.ipynb		lab-11-2-cnn_class.ipynb
lab-11-4-cnn_layers.ipynb		lab-11-4-cnn_layers.ipynb
lab-11-5-mnist_cnn_ensemble_layers.ipynb		lab-11-5-mnist_cnn_ensemble_layers.ipynb
lab-11-mnist_cnn.ipynb		lab-11-mnist_cnn.ipynb
lab-12-0-rnn_basics.ipynb		lab-12-0-rnn_basics.ipynb
lab-12-2-char-seq-rnn.ipynb		lab-12-2-char-seq-rnn.ipynb
lab-12-3-char-seq-softmax-only.ipynb		lab-12-3-char-seq-softmax-only.ipynb
lab-12-4-rnn-long-char.ipynb		lab-12-4-rnn-long-char.ipynb
lab-5-2-logistic_regression_diabetes.ipynb		lab-5-2-logistic_regression_diabetes.ipynb
lab09-03-xor_nn_wide_deep_relu.ipynb		lab09-03-xor_nn_wide_deep_relu.ipynb
lab_11_5_fashion_mnist_cnn_ensemble_layers.ipynb		lab_11_5_fashion_mnist_cnn_ensemble_layers.ipynb
testset.csv		testset.csv
데이터 전처리 실습.ipynb		데이터 전처리 실습.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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DeepLearningZeroToAllColab

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