用Python於深度學習
Lab on Python for Deep Learning
| 節 | 週三 |
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5 13:20–14:10 | 用Python於深度學習 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
The course is conducted entirely online. The course is comprised of 6 biweekly challenges and a final project. Both the challenges and the final project are group challenges, comprised of 4 to 6 students. A complete description of the CBL framework of the class is provided here https://docs.google.com/document/d/1GA4DIyrkDZwJ0Msq9I4vGjyd3gN6DdntQ_x-L7NBimE/edit?usp=sharing This document should cover all aspects of the class organization. Class attendance is not required.
No prerequisite courses are required to enroll in this class, making it accessible to students from various academic backgrounds. However, participants should note that this course employs a Challenge-Based Learning (CBL) framework, emphasizing practical, real-world problem-solving through group collaboration. The course's structure demands robust self-learning capabilities, effective communication, and proficient self-management from its students. These skills are essential for engaging with the group challenges effectively and leveraging the full potential of the CBL approach.
The professor and the teaching assistant are familiar with the CBL framework and will try to help communication and cooperation in the student groups
no homework, no midterm exam, no final exam. challenges give 60% of the final score final project gives 40% of the final score grading policy is discussed here https://docs.google.com/document/d/1GA4DIyrkDZwJ0Msq9I4vGjyd3gN6DdntQ_x-L7NBimE/edit#heading=h.s6uoqncck5wl
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The class will cover the material of this class https://harvard-iacs.github.io/2021-CS109B/pages/schedule.html Students are encouraged to follow the video lectures online and the class material
- 地點
- online
- 時間
- upon request
- 聯絡方式
- stefano.rini@nycu.edu.tw