Neural Networks and Deep Learning--Introduction to Deep Leraning

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）