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機器學習 Machine Learning 2022 Spring by National Taiwan University

This repository contains code and slides of 15 homeworks for Machine Learning instructed by 李宏毅(Hung-Yi Lee). All the information about this course can be found on the course website.

Lecture Process 🌑🌘🌗🌗🌖🌕

# Topic Video Reading Homework Finish Date
1 Introduction of Deep Learning 🌑 🌑 🌑 00-00-2024
2 What to do if my network fails to train 🌑 🌑 🌑 00-00-2024
3 Image as input 🌑 🌑 🌑 00-00-2024
4 Sequence as input 🌑 🌑 🌑 00-00-2024
5 Sequence to sequence 🌑 🌑 🌑 00-00-2024
6 Generation 🌑 🌑 🌑 00-00-2024
- Self-supervised learning for NLP 🌑 🌑 🌑 00-00-2024
7 Self-supervised learning for Speech and Image 🌑 🌑 🌑 00-00-2024
8 Auto-encoder/ Anomaly Detection 🌑 🌑 🌑 00-00-2024
9 Explainable AI 🌑 🌑 🌑 00-00-2024
10 Attack 🌑 🌑 🌑 00-00-2024
11 Adaptation 🌑 🌑 🌑 00-00-2024
12 Reinforcement Learning 🌑 🌑 🌑 00-00-2024
13 Network Compression 🌑 🌑 🌑 00-00-2024
14 Life-long Learning 🌑 🌑 🌑 00-00-2024
15 Meta Learning 🌑 🌑 🌑 00-00-2024

Homeworks

# Topic Code Progress
1 Regression Code
2 Classification Code
3 CNN Code
4 Self-Attention Code
5 Transformer Code
6 GAN Code
7 BERT Code
8 Autoencoder Code
9 Explainable AI Code
10 Adversarial Attack Code
11 Adaptation Code
12 Reinforcement Learning Code
13 Network Compression Code
14 Life-Long Learning Code
15 Meta Learning Code

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Machine Learning 2022 Spring by HUNG-YI LEE

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