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. Frameworks for developing DNNs
  12. Implementing DNNs on GPGPUs

Implementation Issues

  1. Implementing Hopfield networks
  2. Implementing Kohonen networks
  3. Implementing ASE-ACE networks
  4. Implementing Backpropagation

Slides by Valentina Colla

  • Hybrid methods
  • Evolutionary computation
  • Fuzzy systems