COURSE 2 Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization

時間 2020-12-24

標籤 deep-learning 简体版

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Week1 Train/Dev/Test sets train set: train model (60% or higher) dev set: hold-out cross validation test set: take the best model Make sure dev set and test set come from same distribution Not having

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1. 課程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第三週（Hype
2. 課程回顧-Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
3. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization--筆記（第一週）
4. Coursera Deep Learning 2 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and O
5. Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - 2 加速訓練
6. Course 2-Improving Deep Neural Networks--Week 1
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8. Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - Note 3
9. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization（第一週）深度學習的實踐層面...
10. Improving Deep Neural Networks[2]
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1. 課程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第三週（Hype
2. 課程回顧-Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
3. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization--筆記（第一週）
4. Coursera Deep Learning 2 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and O
5. Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - 2 加速訓練
6. Course 2-Improving Deep Neural Networks--Week 1
7. Course 2-Improving Deep Neural Networks--Week 2
8. Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - Note 3
9. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization（第一週）深度學習的實踐層面...
10. Improving Deep Neural Networks[2]

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