Lecture Materials - 2025 Spring

2025 Spring Semesters

• AI IoT

  • Lecture1

  • Lecture3

  • Lecture4: Intro of DRL

  • Lecture5: DRL Lab, Colab2

  • Lecture6: Segmentation

  • Lecture7: Air Pollution Prediction
    (Code)

  • Lecture 8

  • Lecture 9

  • Lecture 10

  • Lecture 11

  • Lecture 12

• Data Mining

  • Syllabus

  • Lecture1_Recap(DNN, CNN)

  • Lecture2. Recap (Backprop)

  • Lecture3. RNN-part1: RNN

  • Lecture4. RNN-part2: LSTM

  • Lecture5.RNN-part3:Seq2Seq

  • Lecture 5-6.Transformer-part1:Attention

  • Lecture6-7.Transformer-part2:Transformer

  • Homework 1 (Due 5/15)

  • Lecture-8. Generative Model1

  • Midterm Review (Video)

  • Midterm Instruction

  • Midterm Solution

  • 20250423: Generative_Model-PixelRNNPixelCNN+Auto-encoder (Video)

  • 20250425: Generative_Model-VAE (Video1, Video2)

  • Lecture-9. Generative Model 2

  • Lecture-10-11 Generative Model3

  • Lecture 12 Generative Model 4 (Diffusion 1 ) Video

  • Lecture13 Generative Model 5 (Diffusion 2) Video

  • Final Review

  • Final Solution