Introduction to Deep Leraning（深度学习介绍）
Welcome（课程介绍）
1.Neural Networks and Deep Learning（4weeks）---学习搭建深度学习网络
2.Inproving Deep Neural Networks:Hyperparameter turning、Regulanization and Optimization（3 weeks）---学习超参数调整、正则化与多种优化方法
3.Structuring your Machine Learning Project---反哺改进机器学习
4.Convolutional Neural Networks---卷积神经网络CNN
5.Natural Language Processing Building sequence models（序列模型）---NLP处理与序列模型
What is a neural network?（神经网络介绍）
Standard NN、CNN、RNN
Input layer---Hidden layer---Output layer
ReLU function->rectified linear units
Suspervised Learning with Neural Networks（使用神经网络的监督学习）
Input(x) Outut(y) Application NN House Features Price Real Eastate Standard NN Ad. User Info Click on ad(or not) Online advertising Image Object(1.2...n) Photo tagging CNN Audio English Specch Recongnition RNN English Chinese Machine translation Image.Radar Info Position of other cars Autonomous Driving Complex Hybrid NN Structured Data---Dataset
Unstructured Data---AUdio/Image/Text
Why is Deep Learning taking off?
Scale drives deep learning process.
Data---Computation---Algorithm（数据---深度计算---算法改进）