Update README.md

README.md

@@ -22,20 +22,20 @@ This repository contains code and slides of 15 homeworks for Machine Learning in
 * HW4 : Self-Attention [[Video]](https://youtu.be/-KbD40w9-Io) 
 [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW04/hw04.ipynb) 
 [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW04/Machine%20Learning%20HW4.pdf)
-* HW5 : Transformer[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW05/HW05.ipynb)
+* HW5 : Transformer [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW05/HW05.ipynb)
 [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW05/HW05.pdf)
-* HW6 : GAN[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW06/HW06.ipynb)
+* HW6 : GAN [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW06/HW06.ipynb)
 [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW06/HW06.pdf)
-* HW7 : BERT[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW07/HW07.ipynb)
+* HW7 : BERT [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW07/HW07.ipynb)
 [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW07/HW07.pdf)
-* HW8 : Autoencoder[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW08/HW08.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW08/HW08.pdf)
-* HW9 : Explainable AI[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW09/HW09.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW09/HW09.pdf)
-* HW10 : Adversarial Attack[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW10/HW10.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW10/HW10.pdf)
-* HW11 : Adaptation[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW11/HW11.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW11/HW11.pdf)
-* HW12 : Reinforcement Learning[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW12/HW12.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW12/HW12.pdf)
-* HW13 : Network Compression[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW13/HW13.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW13/HW13.pdf)
-* HW14 : Life-Long Learning[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW14/HW14.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW14/HW14.pdf)
-* HW15 : Meta Learning[[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW15/HW15.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW15/HW15.pdf)
+* HW8 : Autoencoder [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW08/HW08.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW08/HW08.pdf)
+* HW9 : Explainable AI [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW09/HW09.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW09/HW09.pdf)
+* HW10 : Adversarial Attack [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW10/HW10.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW10/HW10.pdf)
+* HW11 : Adaptation [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW11/HW11.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW11/HW11.pdf)
+* HW12 : Reinforcement Learning [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW12/HW12.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW12/HW12.pdf)
+* HW13 : Network Compression [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW13/HW13.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW13/HW13.pdf)
+* HW14 : Life-Long Learning [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW14/HW14.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW14/HW14.pdf)
+* HW15 : Meta Learning [[Code]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW15/HW15.ipynb) [[Slide]](https://github.com/virginiakm1988/ML2022-Spring/blob/main/HW15/HW15.pdf)
 
 ## Lecture Videos
 The lecture videos are available on Hung-Yi Lee's [youtube channel](https://www.youtube.com/channel/UC2ggjtuuWvxrHHHiaDH1dlQ).