國立中山大學,National Sun Yat-sen University,學位論文,thesis/dissertation,基於深度多標籤學習的食譜食材識別,RECIPE-INGREDIENT RECOGNITION BASED ON DEEP MULTI-LABEL LEARNING 

論文名稱 Title	基於深度多標籤學習的食譜食材識別 RECIPE-INGREDIENT RECOGNITION BASED ON DEEP MULTI-LABEL LEARNING
系所名稱 Department	資訊管理學系 Department of Information Management
畢業學年期 Year, semester	107 學年度第 1 學期 The fall semester of Academic Year 107	語文別 Language	中文 Chinese
學位類別 Degree	碩士 Master	頁數 Number of pages	34
研究生 Author	邱明相 Ming-Siang Chiu
指導教授 Advisor	康藝晃 Yihuang Kang
召集委員 Convenor	林耕霈 Keng-Pei Lin
口試委員 Advisory Committee	李珮如 Pei-Ju Lee
口試日期 Date of Exam	2019-01-25	繳交日期 Date of Submission	2019-01-30
關鍵字 Keywords	深度學習、多標籤學習、模型局部可解釋器、非負矩陣分解、卷積神經網路、類似非負矩陣分解的深度自動編碼 Deep Autoencoder-like Non-negative Matrix Factorization, Local Interpretable Model-Agnostic Explanations, Deep Learning, Non-negative Matrix Factorization, Multi-Label Learning, Convolutional Neural Network
統計 Statistics	本論文已被瀏覽 6144 次，被下載 5 次 The thesis/dissertation has been browsed 6144 times, has been downloaded 5 times.

中文摘要