Dan Ryan: Efficient and Flexible Hyperparameter Optimization | PyData Miami 2019

时间 2020-12-30

标签 automl 栏目 Flex 繁體版

原文原文链接

https://www.youtube.com/watch?v=IqQT8se9ofQ 作者强调最后一点其实有paper在做 robust：作者希望不要有"hyper hyper param"，即优化算法应该对超参不敏感作者提到该算法对超参fraction敏感，不robust try all the cut naive , works very well how ever its not ver

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1. [Topic Discussion] Hyperparameter Optimization for Neural Networks
2. COURSE 2 Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization
3. 课程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第三周（Hype
4. Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - Note 3
5. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization--笔记（第一周）
6. Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - 2 加速训练
7. 课程回顾-Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
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