MOOC
- Week 10: Online Learning 2017.07.20
- Week 05: 2. Backpropagation Algorithm 2017.02.05 (1)
- Week 05: 1. Neural Network Cost Function 2017.01.28
- Programming Exercise 4: Neural Networks Learning 2017.01.02
- Autonomous Driving Example 2016.10.12
- Putting it together 2016.10.12
- Random Initialization 2016.09.19
- Gradient Checking 2016.08.04
- Neural Networks Learning: Implementation note unrolling 2016.07.22
- Neural Networks_Learning_3: Backpropagation Intuition 2016.07.22
- Week04: Programming Exercise 3: Multi-class classification and Neural Networks 2016.07.14
- Week 04: Neural Networks 2016.07.12
- Week03 Programming Exercise 2: Regularized Logistic Regression 2016.07.10 (1)
- Week03 Programming Exercise 2: Logistic Regression 2016.07.05 (2)
- Week 03: Regularization and Quiz 2016.07.04
- Quize week03 Logistic Regression(5_5) 2016.06.20
- Week 03: Logistic Regression 2016.06.20
- Programming Excerise 1: Linear Regression 2016.04.17
- Term Project 2016.04.07
- Week 02: Octave Tutorial 2016.01.06
- Week 02: Computing Parameters Analytically: Normal Equation 2015.12.20
- Week02: Linear Regression with multiple variables 2015.12.18
- Week 01 Linear Algebra Review 2015.12.17
- Week 01: Parameter Learning 2015.12.06
- Week 01: Model And Cost Function 2015.12.05
- Certification and Comments 2015.12.04
- Week 04: Regularized Regression 2015.11.24
- Week03: Model based prediction 2015.11.23
- Week03: Boosting 2015.11.23
- Week 03: Random Forests 2015.11.23
