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.
- HW1 : Regression [Video] [Code] [Slide]
- HW2 : Classification [Video] [Code] [Slide]
- HW3 : CNN [Video] [Code] [Slide]
- HW4 : Self-Attention [Video] [Code] [Slide]
- HW5 : Transformer [Code] [Slide]
- HW6 : GAN [Code] [Slide]
- HW7 : BERT [Code] [Slide]
- HW8 : Autoencoder [Code] [Slide]
- HW9 : Explainable AI [Code] [Slide]
- HW10 : Adversarial Attack [Code] [Slide]
- HW11 : Adaptation [Code] [Slide]
- HW12 : Reinforcement Learning [Code] [Slide]
- HW13 : Network Compression [Code] [Slide]
- HW14 : Life-Long Learning [Code] [Slide]
- HW15 : Meta Learning [Code] [Slide]
The lecture videos are available on Hung-Yi Lee's youtube channel.
GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:SecretLittleBoy/ML2022-Spring.git$env:GIT_LFS_SKIP_SMUDGE = "1"
git clone git@github.com:SecretLittleBoy/ML2022-Spring.git