Machine Learning 2020

Homework of Machine Learning (Lectured by Hung-yi, Lee)

HW01: Regression

https://docs.google.com/presentation/d/18MG1wSTTx8AentGnMfIRUp8ipo8bLpgAj16bJoqW-b0/

HW02: Table classification

https://docs.google.com/presentation/d/1dQVeHfIfUUWxMSg58frKBBeg2OD4N7SD0YP3LYMM7AA/

HW03: Image classification (CNN)

https://docs.google.com/presentation/d/1_6TJrFs3JGBsJpdRGLK1Fy_EiJlNvLm_lTZ9sjLsaKE/

HW04: Text classification (RNN + Semisupervised)

https://docs.google.com/presentation/d/1W5-D0hqchrkVgQxwNLBDlydamCHx5yetzmwbUiksBAA/

HW05: Explainable AI (CNN)

https://docs.google.com/presentation/d/1VClvgyilAvohextY0tM3gD7YemXGSUrzLV0E8RjDnMU/

HW06: Adversarial Attack

https://docs.google.com/presentation/d/1aQNgb0dA6aAplW3U8l1wxc6LDjo7gpEOyEL5zlLJwcg/

HW08: Seq2seq

https://docs.google.com/presentation/d/1xshFEjpgRgpB-lZNbdRV_BNP0rmh5sAnz4eZHgS5Cs0/

HW09: Unsupervised Learning (Autoencoder + Clustering)

https://docs.google.com/presentation/d/1ULbTKqn7ikFOTU-r0DoqAca6lej3QmLWwORfcr-0F3o/

HW10: Anomaly Detection (Autoencoder + Clustering)

https://docs.google.com/presentation/d/1kvYOBycYRs9P-nWrlZNnwmdnnAO6w69jKjCxmTRlNqU/

HW12: Transfer Learning (DANN)

https://docs.google.com/presentation/d/1EdSZBRQqJhvpS9-x1pASnO5P4-O-j-_OPIf7KytcGmg/edit#slide=id.g7be340f71d_0_186