Neural Networks


*** First lecture starts on January 16, 2019 at 9:00, Gray Room, TeCIP Institute.

Course Program


Course slides (Giorgio Buttazzo)

  1. Introduction to neural computing
  2. Hopfield networks
  3. Competitive learning
  4. Reinforcement learning
  5. Supervised learning
  6. Towards Deep Neural Networks (DNNs)
  7. DNN models
  8. Convolutional Neural Networks
  9. DNNs for object classification
  10. DNNs for object detection
  11. Recurrent Neural Networks
  12. Generative Adversarial Networks
  13. Applications of DNNs
  14. A look into the future
  15. Frameworks for developing DNNs
  16. Implementing DNNs on GPGPUs

Slides by Valentina Colla