校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

用Python於深度學習

Lab on Python for Deep Learning

學期
114-2
學分
3 學分
當期課號
515151
永久課號
EEEC20112
開課單位
電機工程學系
授課教師
李冕
類別
選修
上課時間表
週三
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

概述

📘 STOP BROWSING & ENROLL IN THIS CLASS! 別再猶豫了,這門課就是為你而設! This is the course for you! 如果你正在選課,這就是你要找的課程! 💻 Fully online — No in-person meetings required 全線上課程 — 不需到課 🎥 Lectures are recorded and available on YouTube (watch anytime) 課程錄影提供於 YouTube(可隨時觀看) 🧠 Every two weeks, you’ll work on a group challenge and present your results 每兩週一次小組挑戰,並於課堂中分享成果 ❌ No final exam, no midterm, no homework 沒有期末考、沒有期中考、沒有作業 ⏱️ Only 2 hours/week commitment 每週僅需 2 小時投入 🗣️ Each week includes ~20 minutes of lecture; the rest is student presentations 每週約 20 分鐘講課,其餘時間為學生報告與討論 📘 Course Description This course doesn’t rely on traditional teaching—there are no lectures, exams, or homework in the usual sense. Instead, it focuses on three core skills you’ll need in the real world: working in a team, self-learning, and using generative AI tools effectively. Every two weeks, you’ll receive a deep learning challenge along with minimal guidance. You’ll work in a group to solve it and present your results. When the task is hard—as it will always be hard—success depends on collaboration, independence and clear communication. Also, we strongly encourage the use of GenAI tools. There’s no standard way to use them yet, and they evolve fast. This course gives you space to explore their potential and limitations through real tasks. Technically, the course covers all the essentials: DNNs, CNNs, LSTMs, transformers, NLP… —everything you need to get started with deep learning. You'll learn it by programming in Python. Students often say the biggest thing they learn from the course is how hard group work really is—and how much it matters. Check out the YouTube playlist with the course from last year https://www.youtube.com/playlist?list=PLb1V9aVV3FkHNpORbJzpNM_nciM_RxVnp

先修科目

None!

評分方式

🧰 Course Tools & Frameworks Challenge-based learning framework description https://docs.google.com/document/d/1GA4DIyrkDZwJ0Msq9I4vGjyd3gN6DdntQ_x-L7NBimE/edit?usp=sharing Calendar event with Google Meet link https://calendar.google.com/calendar/event?action=TEMPLATE&tmeid=NmkzZWt1ZThpOG8zYms2ZnJiMzdyYm50MWpfMjAyNjAyMjVUMDUyMDAwWiByaW5pLnN0ZWZhbm9AbQ&tmsrc=rini.stefano%40gmail.com&scp=ALL Slides of the course (stolen 😀) https://harvard-iacs.github.io/2021-CS109B/pages/schedule.html Slack channel for the course (E3 is terrible for class managment...) https://join.slack.com/t/labonpythonfo-tlt4356/shared_invite/zt-3oqmyiyyt-xIQ45psH7DwcS4dQ9rG6ww YouTube channel (subscribe to help me monetize my videos 💰) https://www.youtube.com/@srini2

週次計畫
週次主題
第 1 週class introduction
第 2 週challenge 1
第 3 週challenge 1
第 4 週challenge 2
第 5 週challenge 2
第 6 週challenge 3
第 7 週challenge 3
第 8 週challenge 4
第 9 週challenge 4
第 10 週challenge 5
第 11 週challenge 5
第 12 週challenge 6
第 13 週challenge 6
第 14 週Final project
第 15 週Final project
第 16 週Final project
Office Hours
地點
online online online
聯絡方式
rini.stefano@gmail.com