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

Material

• Material
  

  Material

  • Lecture 1. Introduction. Lektion
  • Lecture 2. Probability Lektion
  • Chapter 2. Probability Fil
  • Lecture 3. Machine Learning Lektion
  • Chapter 3. Machine Learning Fil Textfil
  • Chapter 4. Neural Networks Lektion
  • Chapter 4. Neural Network Fil Textfil
  • Chapter 5. Symmetries Lektion
  • Chapter 5. Symmetries. Part 1 Fil Textfil
  • Chapter 5. Symmetries. Part 2. Fil Textfil
  • Begränsad Tillgänglig om någon av:

    • You are a(n) Studerande
    • You are a(n) Lärare

    Chapter 6. Autoencoders and GANs Lektion
  • Chapter 6. Autoencoders and GANs Fil Textfil
  • Chapter 7. Training with less data Lektion
  • Chapter 7. Learning with Less Data Fil Textfil
  • Chapter 8. NLP and transformers. Attention Fil Textfil
  • Begränsad Tillgänglig om någon av:

    • You are a(n) Studerande
    • You are a(n) Lärare

    Chapter 8. NLP and Attention Lektion
  • Chapter 9. Embedded systems Fil Textfil
  • Chapter 9. Embedded systems, Compressing neural networks, and AI HW Lektion
  • Chapter 10. Adversarial Examples and Differential Privacy Fil Textfil
  • Chapter 10. Adversarial Examples & Differencial Privacy Lektion