TensorFlow_Training_13th

Tensorflow로 시작하는 딥러닝 Camp 13기 실습

7/20 실습 Simpson Dataset Link

https://drive.google.com/file/d/13xjjmPQTswdmfcPeXhkL6QPENn9zQMKJ/view?usp=sharing

Kaggle Korea 3차 대회 link

https://www.kaggle.com/t/4f86a975437f49a9ab14b0fb38482251

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
data		data
kaggle		kaggle
0_1.Colab_Env_Setup.pdf		0_1.Colab_Env_Setup.pdf
0_1.GoogleDriveMount_GitClone.ipynb		0_1.GoogleDriveMount_GitClone.ipynb
1_1.python_numpy_basic.ipynb		1_1.python_numpy_basic.ipynb
1_2.TensorFlow_Basics_1.x.ipynb		1_2.TensorFlow_Basics_1.x.ipynb
1_2.TensorFlow_Basics_2.0.ipynb		1_2.TensorFlow_Basics_2.0.ipynb
1_Tensorflow_intro.pdf		1_Tensorflow_intro.pdf
2_1.Linear_Regression_Simple.ipynb		2_1.Linear_Regression_Simple.ipynb
2_1.Linear_Regression_Simple_Keras.ipynb		2_1.Linear_Regression_Simple_Keras.ipynb
2_2.Linear_Regression_from_Text.ipynb		2_2.Linear_Regression_from_Text.ipynb
2_3.Linear_Regression_from_Text_minibatch.ipynb		2_3.Linear_Regression_from_Text_minibatch.ipynb
2_4.Linear_Regression_from_Text_using_Dataset.ipynb		2_4.Linear_Regression_from_Text_using_Dataset.ipynb
2_5.Logistic_regression.ipynb		2_5.Logistic_regression.ipynb
3_1.mnist_logistic_regression.ipynb		3_1.mnist_logistic_regression.ipynb
3_2.mnist_mlp.ipynb		3_2.mnist_mlp.ipynb
3_3.mnist_mlp_deeper.ipynb		3_3.mnist_mlp_deeper.ipynb
3_4.mnist_mlp_dropout.ipynb		3_4.mnist_mlp_dropout.ipynb
3_5.mnist_mlp_l2_reg.ipynb		3_5.mnist_mlp_l2_reg.ipynb
3_6.mnist_mlp_batchnorm.ipynb		3_6.mnist_mlp_batchnorm.ipynb
3_7.mnist_mlp_learning_rate_decay.ipynb		3_7.mnist_mlp_learning_rate_decay.ipynb
4_1.mnist_cnn_sequential.ipynb		4_1.mnist_cnn_sequential.ipynb
4_1_1.load_saved_models.ipynb		4_1_1.load_saved_models.ipynb
4_2.mnist_cnn_functional.ipynb		4_2.mnist_cnn_functional.ipynb
4_3.mnist_cnn_subclassing.ipynb		4_3.mnist_cnn_subclassing.ipynb
4_4.mnist_cnn_keras_only.ipynb		4_4.mnist_cnn_keras_only.ipynb
5_1.simple_cnn_cifar10.ipynb		5_1.simple_cnn_cifar10.ipynb
5_2.mobilenet_cifar10.ipynb		5_2.mobilenet_cifar10.ipynb
5_3.googlenet_cifar10.ipynb		5_3.googlenet_cifar10.ipynb
5_4.pretrained_model_inference_only.ipynb		5_4.pretrained_model_inference_only.ipynb
5_5.finetuning_mobilenet_cifar10.ipynb		5_5.finetuning_mobilenet_cifar10.ipynb
5_6.finetuning_tf_hub_cifar10.ipynb		5_6.finetuning_tf_hub_cifar10.ipynb
5_7.tf_datasets_and_tf_hub.ipynb		5_7.tf_datasets_and_tf_hub.ipynb
5_8.tf_datasets_and_keras_pretrained_model.ipynb		5_8.tf_datasets_and_keras_pretrained_model.ipynb
6_0.prepare_dataset.ipynb		6_0.prepare_dataset.ipynb
6_1.train_val_split.ipynb		6_1.train_val_split.ipynb
6_2.CNN_keras_custom_data.ipynb		6_2.CNN_keras_custom_data.ipynb
6_3.CNN_finetuning_keras_custom_data.ipynb		6_3.CNN_finetuning_keras_custom_data.ipynb
6_4.make_tfrecord.ipynb		6_4.make_tfrecord.ipynb
6_5.CNN_tfrecord.ipynb		6_5.CNN_tfrecord.ipynb
6_6.CNN_keras_tfrecord.ipynb		6_6.CNN_keras_tfrecord.ipynb
99_1.Weight Initialization.ipynb		99_1.Weight Initialization.ipynb
README.md		README.md

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