Deep learning II - III Hyperparameter tuning - Hyperparameter tuning process 如何调整超参数以及范围选择

时间 2020-12-20

标签 Hyperparameter tuning scale transform 超参数调谐尺度变换栏目 CSS 繁體版

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Hyperparameter tuning process 调整步骤有哪些超参数需要调（红色最优先，黄色次之，紫色随后）在调谐时，不要用grid；而是要随机选择参数，因为你并不知道什么参数会更重要由粗到细。范围选择对于 n[l],#layers n [ l ] , # l a y e r s 等参数，使用random sampling uniformly是合适的。对于learning_

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1. Class2-Week3 Hyperparameter Tuning
2. HYPERPARAMETER TUNING WITH RAY TUNE
3. Coursera Deep Learning 2 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and O
4. Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - Note 3
5. Andrew Ng's deeplearning Course2Week3 Hyperparameter tuning, Batch Normalization and Frameworks
6. Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - 2 加速训练
7. Hyperparameter tuning/Batch Normalization(超参数调试、Batch正则化及优化)---deeplearning.ai---笔记（18）
8. 课程回顾-Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
9. 课程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第三周（Hype
10. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization--笔记（第一周）

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