Deep Learning is more than a pack of techniques showing improving performance updating on benchmarks. I will focus on mathematics related to the comprehensive developments of the deep neural network (DNN). I plan to cover as many more topics on AI explanation, together with at least Generative AIs (GAN, VAE, and diffusion models), Generalization error analysis (PAC, Rademacher, and VC-dimension), Ranking by Sharpley values (Game), and but not the least Kenel machines (NTKs).  

1. 本校尚無訂定 A+ 比例上限。
2. 本校採用等第制評定成績，學生成績評量辦法中的百分制分數區間與單科成績對照表僅供參考，授課教師可依等第定義調整分數區間。詳見學習評量專區 (連結)。