ELEC-E8739 - AI in health technologies D, 07.09.2020-14.12.2020

Materials

• Materials
  

  Materials

  • Lecture 1. Introduction. Lesson
  • Lecture 2. Probability Lesson
  • Chapter 2. Probability File
  • Lecture 3. Machine Learning Lesson
  • Chapter 3. Machine Learning File Text file
  • Chapter 4. Neural Networks Lesson
  • Chapter 4. Neural Network File Text file
  • Chapter 5. Symmetries Lesson
  • Chapter 5. Symmetries. Part 1 File Text file
  • Chapter 5. Symmetries. Part 2. File Text file
  • Restricted Not available unless any of:

    • You are a(n) Student
    • You are a(n) Teacher

    Chapter 6. Autoencoders and GANs Lesson
  • Chapter 6. Autoencoders and GANs File Text file
  • Chapter 7. Training with less data Lesson
  • Chapter 7. Learning with Less Data File Text file
  • Chapter 8. NLP and transformers. Attention File Text file
  • Restricted Not available unless any of:

    • You are a(n) Student
    • You are a(n) Teacher

    Chapter 8. NLP and Attention Lesson
  • Chapter 9. Embedded systems File Text file
  • Chapter 9. Embedded systems, Compressing neural networks, and AI HW Lesson
  • Chapter 10. Adversarial Examples and Differential Privacy File Text file
  • Chapter 10. Adversarial Examples & Differencial Privacy Lesson