課程介紹
| In this course, we will review 1) the classical machine learning methods and 2) the modern neural network methods developed in the last decade. Each topic of the course will be comprised of two parts: the introduction to the theoretical model and the programming project implemented by python and tensorflow. Students will be asked to do a term project, an actual problem can be solved by machine learning, and these projects will be presented at the middle and the end of the semester. |
教科書:
Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville, MIT Press
The textbook can be downloaded from http://www.deeplearningbook.org.
The textbook can be downloaded from http://www.deeplearningbook.org.
教學進度:
We will go through several topics.
Each topic is comprised of
1) Lecture
2) Tutorial Code
And after several topics, we will give a homework from Kaggle.
Also, we will have a term project for each group.
本課程不開放報名
