007 Practical aspects of Deep Learning
Setting up your Machine Learing Application Regularizing your neural network Setting up your optimization problem
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- 2. Deep learning II - I Practical aspects of deep learning - Normalizing inputs 輸入歸一化
- 3. Deep learning II - I Practical aspects of deep learning - 正則化如何較少過擬合
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相關文章
- 1. [coursera/ImprovingDL/week1]Practical aspects of Deep Learning(summary&question)
- 2. Deep learning II - I Practical aspects of deep learning - Normalizing inputs 輸入歸一化
- 3. Deep learning II - I Practical aspects of deep learning - 正則化如何較少過擬合
- 4. Deep learning II - I Practical aspects of deep learning - Understanding dropout 理解隨機失活正則化
- 5. Deep learning II - I Practical aspects of deep learning - Vanishing/Exploring gradients 梯度消失/爆炸
- 6. Deep learning II - I Practical aspects of deep learning - other regularization methods 其他正則化方法
- 7. Deep learning II - I Practical aspects of deep learning - Dropout regularization 隨機失活正則化
- 8. 【吳恩達深度學習筆記】2.1 Practical aspects of Deep Learning
- 9. 深度神經網絡優化（一）- Practical aspects of Deep Learning
- 10. Coursera Deep Learning 第2課 Improving Deep Neural Networks 第一週 測驗題 Practical aspects of deep learning