[coursera/ImprovingDL/week1]Practical aspects of Deep Learning(summary&question)
1.1 Setting up your Machine Learning Application Train/Dev/Test sets It depends on the data. (98/1/1) worst: Train set error: 50%(high bias) underfitting Dev set error: 50%(high variance) overfitting
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相關文章
- 1. 007 Practical aspects of Deep Learning
- 2. Deep learning II - I Practical aspects of deep learning - Normalizing inputs 輸入歸一化
- 3. 【吳恩達深度學習筆記】2.1 Practical aspects of Deep Learning
- 4. 深度神經網絡優化（一）- Practical aspects of Deep Learning
- 5. Deep learning II - I Practical aspects of deep learning - 正則化如何較少過擬合
- 6. Deep learning II - I Practical aspects of deep learning - Understanding dropout 理解隨機失活正則化
- 7. Deep learning II - I Practical aspects of deep learning - Vanishing/Exploring gradients 梯度消失/爆炸
- 8. Deep learning II - I Practical aspects of deep learning - other regularization methods 其他正則化方法
- 9. Deep learning II - I Practical aspects of deep learning - Dropout regularization 隨機失活正則化
- 10. Coursera Deep Learning 第2課 Improving Deep Neural Networks 第一週 測驗題 Practical aspects of deep learning