Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization（第一周）深度学习的实践层面 (Practical aspects of Deep Learning)

1. Setting up your Machine Learning Application

1.1 训练，验证，测试集(Train / Dev / Test sets)

1.2 Bias/Variance(偏差和方差)

1.3 Basic "recipe" for Machine learning

1.31 High bias(高偏差)

•  更大的神经网络

1.32 High Variance(高方差)

• 更多数据
• 正则化
• CNN

2. Regularizing your neural network