作業編號線上學習作業範例作業說明上課補充繳交時間
課程簡介 Introduction (slide), Rule (slide) Google Drive 檔案存取
作業一 Regression (slide), Basic Concept (slide) Regression slide, video (助教:楊舒涵) 3/26
Gradient Descent Gradient Descent 1 2 3 (slide) More about Gradient Descent 1 2 (slide)
作業二 Classification 1 2 (slide 12) Classification slide, video (助教:簡仲明) 3/26
DL預備 DL (slide), Backprop (slide), Tips (slide), Why Deep (slide) PyTorch 教學 ( slide, colab, video, cheatsheet) 助教:劉記良、陳建成
作業三 CNN(slide) CNN slide, video (助教:邱譯、趙崇皓) GNN 1 2 (slide) 4/30
作業四 RNN 1 2 (slide), Semi-supervised (slide), Word Embedding (slide) RNN slide, video (助教:黃冠博、邱譯) 4/30
作業五 Explainable AI (slide) Explainable AI slide, video (助教:楊書文) More about Explainable AI (slide) 4/30
作業六 Adversarial Attack (slide) Adversarial Attack slide, video (助教:林政豪) More about Adversarial Attack 1, 2 (slide) 4/30
作業七 Network Compression (slide) Network Compression 1 2 3 4 slide, video (助教:劉俊緯、楊晟甫) More about Network Compression 1, 2 (slide) 5/21
作業八 Seq2seq (slide), Pointer (option) (slide), Recursive (option) (slide) Seq2seq slide, video (助教:黃子賢) Transformer and its variant (slide) 5/21
作業九 Dimension Reduction (slide), Neighbor Embedding (slide), Auto-encoder (slide), More Auto-encoder (slide) Unsupervised Learning slide, video (助教:陳延昊、楊晟甫) 5/14 (Model Pretraining) 5/21
作業十 Anomaly Detection (slide) Anomaly Detection slide, video (助教:謝濬丞) 5/21 6/11
作業十一 GAN (10 videos) (slide 1 2 3 4 5 6 7 8 9 10) GAN slide, video (助教:陳延昊、吳宗翰) 5/28 6/11
作業十二 Transfer Learning (slide) Transfer Learning slide, video (助教:劉俊緯、黃冠博) 6/04 6/11
作業十三 Meta Learning - MAML(slide), Meta Learning - Gradient Descent and Metric-based (option)(slide) Meta 1 2 slide, video 1 2 3 (助教:姜成翰、高瑋聰) 6/11 7/02
作業十四Life-long Learning (slide) Life-long slide, video (助教:紀伯翰、黃子賢) 6/18 7/02
作業十五 RL 1 2 3 (slide), Advanced Version (8 videos, option) (slide 1 2 3 4 5) RL slide, video (助教:林義聖) 7/02 7/02