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wangncs · Nov 19, 2017 · 03fa4a7 · 03fa4a7
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diff --git a/...on+with+a+Neural+Network+mindset+v4.ipynb → ...on+with+a+Neural+Network+mindset+v4.ipynb b/...on+with+a+Neural+Network+mindset+v4.ipynb → ...on+with+a+Neural+Network+mindset+v4.ipynb
diff --git a/...sification+with+one+hidden+layer+v4.ipynb → ...sification+with+one+hidden+layer+v4.ipynb b/...sification+with+one+hidden+layer+v4.ipynb → ...sification+with+one+hidden+layer+v4.ipynb
diff --git a/...ep+Neural+Network+-+Step+by+Step+v5.ipynb → ...ep+Neural+Network+-+Step+by+Step+v5.ipynb b/...ep+Neural+Network+-+Step+by+Step+v5.ipynb → ...ep+Neural+Network+-+Step+by+Step+v5.ipynb
diff --git a/...eep+Neural+Network+-+Application+v3.ipynb → ...eep+Neural+Network+-+Application+v3.ipynb b/...eep+Neural+Network+-+Application+v3.ipynb → ...eep+Neural+Network+-+Application+v3.ipynb
diff --git a/...networks-deep-learning/DeepLearning-01.md → ...ing/ex01-Introduction to deep learning.md b/...networks-deep-learning/DeepLearning-01.md → ...ing/ex01-Introduction to deep learning.md
diff --git a/...networks-deep-learning/DeepLearning-02.md → ...p-learning/ex02-Neural Networks Basics.md b/...networks-deep-learning/DeepLearning-02.md → ...p-learning/ex02-Neural Networks Basics.md
diff --git a/...networks-deep-learning/DeepLearning-03.md → ...-learning/ex03-Shallow neural networks.md b/...networks-deep-learning/DeepLearning-03.md → ...-learning/ex03-Shallow neural networks.md
diff --git a/...networks-deep-learning/DeepLearning-04.md → ...eep-learning/ex04-Deep Neural Networks.md b/...networks-deep-learning/DeepLearning-04.md → ...eep-learning/ex04-Deep Neural Networks.md
diff --git a/...d-Optimization/Gradient+Checking+v1.ipynb → ...ptimization/01-Gradient+Checking+v1.ipynb b/...d-Optimization/Gradient+Checking+v1.ipynb → ...ptimization/01-Gradient+Checking+v1.ipynb
diff --git a/...ion-and-Optimization/Initialization.ipynb → ...-and-Optimization/01-Initialization.ipynb b/...ion-and-Optimization/Initialization.ipynb → ...-and-Optimization/01-Initialization.ipynb
diff --git a/...al Networks-Hyperparameter tuning-Regularization-and-Optimization/01-Regularization.ipynb b/...al Networks-Hyperparameter tuning-Regularization-and-Optimization/01-Regularization.ipynb
diff --git a/...ion/practical-aspects-of-deep-learning.md → ...x01-Practical aspects of Deep Learning.md b/...ion/practical-aspects-of-deep-learning.md → ...x01-Practical aspects of Deep Learning.md
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+# Practical aspects of Deep Learning
+
 ### 1
 if you have 10,000,000 examples, how would you split the train/dev/test set?