- Day 3, 13:00‑13:45
- Chinese talk w. English slides
Unsupervised learning is how human learns. And generative adversarial networks is one of the most popular algorithms to do unsupervised learning. There are lots of GAN papers with amazing results. I would like to talk about issues of replicating GAN results and how I solved them.
覺得有趣選了物理系，結果差點畢不了業。想做遊戲所以開始寫程式，結果沒進過遊戲公司。覺得電腦圖學好玩，結果接觸了電腦視覺。覺得機器學習很酷，結果待續。現在在 KKStream 披著 Android Adaptive Player 的皮，企圖跟同事強迫推銷自己都不太懂的演算法。