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Machine-Learning-2017-Fall
Hung-yi Lee
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Machine-Learning-2017-Fall
Hung-yi Lee
Part 1. Introduction of Machine Learning
Part 2. Regression - Case Study
Part 3. Where does the error come from?
Part 4. Gradient Descent
Part 5. Classification
Part 6. Logistic Regression
Part 7. Brief Introduction of Deep Learning
Part 8. BackPropagation
keras demo 1
Part 9. Tips for Training DNN
keras demo 2.ipynb
Part 10. Convolutional Neural Network