Date	Topic	Preparation - zh	Preparation - en	Class Material	Extra Material
2/18	Lecture 1:Introduction of Deep Learning	影片 1 影片 2	Video 1 Video 2	2022: Introduction Week 1 Pytorch 1 Pytorch 2 Colab Rules: ppt / pdf Class intro: ppt / pdf Pytorch Tutorial 1: pdf Pytorch Tutorial 2: pdf Colab Tutorial: pdf Environment Setup pdf	Introduction of Deep Learning Backpropagation Predicting Pokémon CP Pokemon classification Logistic Regression
2/25	Lecture 2:What to do if my network fails to train	影片 1 影片 2 影片 3 影片 4 影片 5	Video 1 Video 2 Video 3 Video 4 Video 5	2022: Basic theory Week 2 Theory: ppt / pdf	Gradient Descent (Demo by AOE) Beyond Adam (part 1) Beyond Adam (part 2)
3/04	Lecture 3:Image as input	影片	Video	2022: Why deep/ Validation Week 3 - Validation Week 3 - Why Deep Validation: ppt / pdf Why Deep: ppt / pdf	Spatial Transformer Layer
3/11	Lecture 4:Sequence as input	影片 1 影片 2	Video 1 Video 2	2022: 科技部 X Talent 課堂演講	RNN (part 1) RNN (part 2) GNN (part 1) GNN (part 2)
3/18	Lecture 5:Sequence to sequence	影片 1 影片 2 影片 3	Video 1 Video 2 Video 3	2022: Self-attention Week 5 xformer: ppt / pdf	NAT model Pointer network
3/25	Lecture 6:Generation	影片 1 影片 2 影片 3 影片 4	Video 1 Video 2 Video 3 video 4	2022: Privacy for ML (吳沛遠老師授課) 2021: GAN: ppt / pdf	Theory of GAN (part 1) Theory of GAN (part 2) Theory of GAN (part 3) VAE FLOW-based Model
4/01	Recent Advance of Self-supervised learning for NLP	影片 1 影片 2 影片 3 影片 4	Video 1 Video 2 Video 3	2022: Recent Advance of Self-supervised learning for NLP (姜成翰助教授課) Week 7 pdf 2021: BERT: ppt / pdf	BERT (part 1) BERT (part 2) GPT-3
4/08	期中考週不上課
4/15	Lecture 7:Self-supervised learning for Speech and Image			2022: SSL for Speech and Image: video ppt / pdf
4/22	Lecture 8:Auto-encoder/ Anomaly Detection	影片 1 影片 2 影片 3 影片 4 影片 5 影片 6 影片 7 影片 8	Video 1 Video 2	2022: 訊連玩美課堂演講 2021: Auto-Encoder: ppt / pdf	PCA t-SNE
4/29	Lecture 9:Explainable AI	影片 1 影片 2	Video 1 Video 2	2022: Adversarial Attack for NLP PART:1 (姜成翰助教授課) Week 11 pdf 2021: Explainable AI: ppt / pdf
5/06	Lecture 10:Attack	影片 1 影片 2	Video 1 Video 2	2022: Adversarial Attack for NLP PART:2 (姜成翰助教授課) Week 12 pdf 2021: Adversarial Attack: ppt / pdf
5/13	Lecture 11:Adaptation	影片 1	Video 2	2022: More about self-supervised learning: video ppt / pdf 2021: Adaptation: ppt / pdf
5/20	Lecture 12:Reinforcement Learning	影片 1 影片 2 影片 3 影片 4 影片 5	Video 1 Video 2 Video 3 Video 4 Video 5	2022: Quantum Machine Learning (鄭皓中教授授課) 2021: DRL: ppt / pdf
5/27	Lecture 13:Network Compression	影片 1 影片 2	Video 1 Video 2	2021: Network Compression: ppt / pdf	PPO Q-learning (part 1) Q-learning (part 2)
6/03	Lecture 14:Life-long Learning	影片 1 影片 2 影片 3	Video 1 Video 2	2022: 期末考週不上課 2021: Life-long Learning: ppt / pdf
6/10	Lecture 15:Meta Learning	影片 1 影片 2	Video 1 Video 2	2022: More about Meta Learning Meta ppt / pdf	MAML (part 1) MAML (part 2) MAML (part 3) MAML (part 4) MAML (part 5) MAML (part 6) MAML (part 7) MAML (part 8) MAML (part 9) Learnable Gradient Descent (pat 1) Learnable Gradient Descent (pat 2) Learnable Gradient Descent (pat 3) Metric-based (part 1) Metric-based (part 2) Metric-based (part 3) Train+Test as RNN

The information here is tentative and subject to change. Please read the requirement of each homework before deadline.

	Date	Homework Topic	Video	Slide	Code	Submission	Homework Deadline
HW 1	2/18	Regression					Kaggle: 02/23/2022 23:59:59 (UTC+8) NTU COOL: 02/27/2022 23:59:59 (UTC+8)
HW 2	2/25	Classification					2022/3/18 23:59 (UTC+8)
HW 3	3/04	CNN					2022/3/25 23:59 (UTC+8)
HW 4	3/11	Self-attention					2022/4/01 23:59 (UTC+8)
HW 5	3/18	Transformer					2022/4/08 23:59 (UTC+8)
HW 6	4/01	GAN					2022/4/22 23:59 (UTC+8)
HW 7	4/15	BERT					2022/5/06 23:59 (UTC+8)
HW 8	4/22	Autoencoder					2022/5/13 23:59 (UTC+8)
HW 9	4/29	Explainable AI				#	2022/5/20 23:59 (UTC+8)
HW 10	5/06	Attack					2022/5/27 23:59 (UTC+8)
HW 11	5/13	Adaptation					2022/6/3 23:59 (UTC+8)
HW 12	5/20	RL					2022/6/10 23:59 (UTC+8)
HW 13	5/27	Compression					2022/6/17 23:59 (UTC+8)
HW 14	6/03	Life-long				#	2022/6/24 23:59 (UTC+8)
HW 15	6/10	Meta Learning					2022/7/01 23:59 (UTC+8)