Our team members reviewed papers together and co-writed short reviews of Deep Learning Papers.
W2 : Adam, A Method for Stochastic Optimization (https://kubig-2023-2.tistory.com/11)
W3 : Layer Normalization (https://kubig-2023-2.tistory.com/21)
W4 : Going Deeper with Convolutions, GoogLeNet (https://kubig-2023-2.tistory.com/48)
W5 : Long Short Term Memory (https://kubig-2023-2.tistory.com/52)
W6 : Attention is all you need (https://kubig-2023-2.tistory.com/68)