第一週-類神經網路之訓練
===
-[神經元之基本運算](https://hackmd.io/VdEa28txS9q_b70JTeueug)

-[活化函數(activation function)之使用](https://hackmd.io/IBoIu7HpSD-NeeNMg5NTZw)

-[類神經網路之實際運用](https://hackmd.io/Wvj9-aqcRgeq3ULVpDqdNg)

-[為何需要批次學習](https://hackmd.io/EakdCmAzQjGVLWBmk3cXeg)

-[設定損失函數:梯度法、交叉嫡](https://hackmd.io/bISqhbQPQ0uO5vMS40O8jg)

-[誤差反向傳播法](https://hackmd.io/K7NRC5mPTa2eEhE8KYI03Q)

-[學習相關的技巧](https://hackmd.io/0tIXv8lfTd6w9C-SBTZ8Zg)

第二週-類神經網路之架構 CNN 、RNN 與 self attention
===

-[CNN](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/B1BDWJgRT/edit)

-[RNN](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/BygofJxRa/edit)

-[Self attention(1)](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/Hk0TzyeCa/edit)

-[Self attention(2)](https://hackmd.io/pDgvnUBmTYStEwFyaIWO6A)

第三週-類神經網路之架構-Transformer(NLP)
===

-[sequence-to-sequence](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/By0ufNgyA/edit)

-[Encoder、Decoder](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/H13lQVeJ0/edit)

第四週-監督式學習/非監督式學習
===

-[機器學習模式與監督式學習](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/SkXGvJSMC)

-[監督式學習實作](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/H1LwhgHfC)

-[半監督式學習](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/HyldhgBMA)

-[半監督式學習實作](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/HJP52eSz0)

-[非監督式學習](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/ryso2xBzA)

-[非監督式學習實作](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/Hyih3xrGA)

第五週-生成式對抗網路(GAN)
===
-[generator和discriminator、distribution](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/HJyrMJvQC)

-[unconditional generation及conditional generation](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/HJNPM1PQ0)

-[JS divergence、Wasserstein distance、wgan](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/B14KMJvQC)

-[GAN的評估方式](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/Sk0qMkD7R)

-[cycle GAN](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/ryBhM1DmA)

第六週-模型攻擊
===
-[模型攻擊(I)](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/rkerZNL4R)

-[模型攻擊(II)](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/Hyv9b4LE0)

-[模型攻擊(實作)](https://hackmd.io/@gbqIkwelQa2ynoVm-7cdMg/H1WDkh5N0)

學習資源統整
===

-[李宏毅老師機器學習影片(2021)](https://www.youtube.com/watch?v=Ye018rCVvOo&list=PLJV_el3uVTsMhtt7_Y6sgTHGHp1Vb2P2J&pp=iAQB)
-[ML 2022 Spring](https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php)
-[ML 2023 Spring](https://speech.ee.ntu.edu.tw/~hylee/ml/2023-spring.php)
-[Machine Learning Mastery](https://machinelearningmastery.com/)
-[全民瘋AI系列2.0 系列](https://ithelp.ithome.com.tw/users/20107247/ironman/4723?page=1)