Deep learning Fall 2021
TA: 徐雋崴
Codes in the lectures
Slides
09/13: Course introduction (slides)
09/20: Mid-autumn Festival
09/27: Machine Learning for beginner (slides)
10/04: Basic Concept of Neural Networks (slides)
10/11: Double Ten Holiday
10/18: AutoEncoder and Word2Vec (slides)
10/25: Basic Concept of Convolutional Neural Netowrks (slides)
11/01: Basic Concept of Recurrent Neural Networks (slides)
11/15: Convolutional RNN + CTC (slides) / Transformer (student presentation)
11/22: Exercise 1 Review / Adam (student presentation)
11/29: Explainable AI (slides) / VGGNet (student presentation)
12/06: Malware Classification (slides) / Dropout (student presentation)
12/13: Variational AutoEncoder (slides) / BERT (student presentation)
雙週練習
2021_11_01 problem_set
2021_12_06 problem_set