114年第1學期-5516 電腦視覺實務與深度學習 課程資訊

評分方式

評分項目	配分比例	說明
Assignments	50	(tentative) 3 times of programming assignments, announced in class or from the course website
Class Participation	10	Only applicable for “Invited Talks”. Rules for check-in/check-out: ．Can get 10 points if check-in before the talks (9:10am) and check-out after the talks (12:10pm) ．Every 10 minutes short will get -1 point penalty (e.g., check-in during 9:10am-9:20am and check-out after the talks)
Final Projects	40	Team-based presentation with a proof-of-concept implementation of a selected ‘top-level’ and ‘new’ (published from 2025 or after) paper, which must be enhanced by the team’s own innovations

教育目標

電腦視覺已經深入生活當中，然而在不同應用情境下存在不同的實務挑戰，本課程講授學術文獻上以深度學習為主流之最新電腦視覺技術解決方案，以期建立修課學生之電腦視覺學理基礎與實務應用能力。

基本資料

選修課，學分數：3-0
上課時間：五/2,3,4[遠距課程]
修課班級：共選修3,4,碩博1,2
修課年級：3年級以上
選課備註：教育部補助臺灣大專院校人工智慧學程聯盟，開設學校：臺灣大學（鄭文皇），上課時間：星期五 9:10-12:10，開放大三以上修習，遠距課程

參考書目

．The primary teaching materials will consist of teacher-created slides.
．No textbook but recommended readings: