2026-Syllabus (tentative) .xlsx

	A	B	C	D	E	F	G
1	Week	Tuesday		Thursday			Note
2	Week	📅 Date	📑 Lecture	📅 Date	💻 Lab	🔥Competition	Note

3	1	2026/09/08	Lecture 1&2: Intro & Linear Algebra	2026/09/10	Lecture 3: Probability & Info Theory
4	2	2026/09/15	Lecture 4: Numerical Optimization	2026/09/17	Quiz (Lecture 02 ~ 04)		加退選至 9/20
5	3	2026/09/22	Lecture 5: Learning Theory and Regularization	2026/09/24	Lab: Regularization (Ridge, LASSO, RANSAC)	Competition 1: Text Feature Engineering
6	4	2026/09/29	Lecture 6: Probabilistic Models	2026/10/01	Lab: Logistic Regression, Metrics
7	5	2026/10/06	Lecture 9: Neural Networks: Design	2026/10/08
8	6	2026/10/13	Lecture 10: Neural Networks: Optimization & Regularization	2026/10/15	Lab: Word2Vec & Noise Contrastive Estimation using Subclassing
9	7	2026/10/20	Lecture 11: CNN & Object Detection	2026/10/22	Lab: Convolutional Neural Networks & Data Pipelines (MNIST&CIFAR10)	Competition 2: Object Detection (YOLO)
10	8	2026/10/27	Lecture 11: CNN & Object Detection	2026/10/29	Lab: Visualization, Style Transfer & Save and Load Models (Pretrained CNN)	Competition 1: Show Off
11	9	2026/11/03	Lecture 12: RNN & Attention	2026/11/05	Lab: Seq2Seq & Attention & Machine Translation
12	10	2026/11/10	Lecture 12: Transformers	2026/11/12	Lab: Image captioning
13	11	2026/11/17	Lecture 13: Unsupervised Learning & Generative AI (text)	2026/11/19		Competition 3: Reverse Image Captioning	二退至11/20
14	12	2026/11/24	Lecture 13: Generative AI (image)	2026/11/26	Lab: Diffusion Models	Competition 2: Show Off
15	13	2026/12/01	Lecture 14: Reinforcement Learning	2026/12/03	Lab: Flappy bird using RL
16	14	2026/12/08	Lecture 15: Deep Reinforcement Learning	2026/12/10	Lab: Flappy bird using Deep RL
17	15	2026/12/15	Lecture 16: LLM Reasoning and Beyond	2026/12/17
18	16	2026/12/22	Final (Lecture 05 ~ 15)	2026/12/24		Competition 3: Show Off
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