Week 1 (02/28) : Holiday - NO CLASS

228放假停課一次

Week 3 (03/20) : ML for Classification

Lecture Note : Machine Learning for Pattern Recognition (PPTX, PDF)

Homework : Python (II)

Readings :

Week 4 (03/27) : ML Problems and Algorithms

Lecture Note : Machine Learning Problems and Algorithms (PPTX, PDF)

Homework : Python (III)

Readings :

Week 6 (04/03) : Holiday - NO CLASS

春假停課一次

Homework : P1 Scikit-Learn

Week 7 (04/10) : Supervised Learning

Lecture Note : Supervised Learning (PPTX, PDF)

Homework : P2 Trees and Forests

Readings :

Week 8  (04/17) : Midterm - NO CLASS

Homework : P3 kNN

Week 9 (04/24) : Linear Regression

Lecture Note : Linear Regression (PPTX, PDF)

Homework : Homework : P4 SVM

Readings :

Week 10 (05/01) : Logistic Regression

Lecture Note : Logistic Regression (PPTX, PDF)

HomeworkP5 Linear Regression

Readings :

Week 12 (05/15) : Neural Information Processing

Lecture Note : Neural Information Processing (PPTX, PDF)

Homework : P7 Clustering

Readings :

Week 13 (05/22) : Backpropagation

Lecture Note : Backpropagation (PPTX, PDF)

Homework : P8 PyTorch and Neueal Networks

Readings

Readings Advanced

Week 14 (05/29) : Deep Learning 

Lecture Note : Deep Learning Introduction (PPTX, PDF)

Homework : P9 Learning of Neural Networks. Project Announcement

Readings

Readings Advanced

Week 15 (06/05) : Convolution Neural Networks

Lecture Note : Convolutional Neural Network (CNN) (PPTX, PDF)

Homework : Project proposal

Readings :

Week 16 (06/12) : Final Term - NO CLASS

Week 17 (06/19) : 彈性多元學習週 ─ Project oral presentation

Week 18 (06/26) : 彈性多元學習週 ─ Project report