Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - 2 加速训练

时间 2020-01-19

标签 deep learning specialization hyperparameter tuning regularization optimization 加速训练繁體版

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Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - Note 2 第二周的内容讲的都是如何加速训练html 1. Mini-batch Gradient Descent 重要：新符号！web 吴恩达设计了一套比较好的符号系统，对于表达神经网络很是有帮助，符号必定要掌握！网络

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1. Deep Learning Specialization 2: Hyperparameter tuning, Regularization and Optimization - Note 3
2. COURSE 2 Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization
3. Coursera Deep Learning 2 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and O
4. 课程回顾-Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
5. 课程二(Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization)，第三周（Hype
6. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization--笔记（第一周）
7. 深度学习Deep Learning Specialization [deep learning ai 吴恩达主讲] Note1
8. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization（第一周）深度学习的实践层面...
9. Class2-Week3 Hyperparameter Tuning
10. Deep Learning Specialization 5: Sequence Models - Week 2 - Word Embeddings

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