See Syllabus

Course List:

  • Introduction of Machine Learning

  • Regression
  • Gradient Descent

  • Classification

  • Deep Learning, Backpropagation
  • CNN
  • RNN

  • Semi-supervised, Word Embedding

  • Explainable AI
  • Adversarial Attack

  • Network Compression

  • Auto-encoder
  • Anomaly Detection
  • GAN
  • Transfer Learning (Domain Adversarial Learning)
  • Meta Learning (MAML) (learn to learn, find proper functional space)
  • Life-long Learning
  • Reinforcement Learning

Notes