1 / 40

Pulsed Neural Networks

Explore the applications of pulsing neural networks in challenging problems such as image recognition in varied settings, speech recognition in noise, and robotic control and navigation. Learn about the mathematical principles and learning algorithms behind dynamic pulsed networks.

viveiros
Download Presentation

Pulsed Neural Networks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Pulsed Neural Networks Neil E. Cotter ECE Department University of Utah

  2. Overview

  3. Challenging Problems

  4. Challenging Problems Image recognition in varied settings Speech recognition in noise Robotic control and navigation

  5. Artificial Neural Networks

  6. Biological Neuron

  7. Biological Neuron

  8. Perceptron

  9. Perceptron Response

  10. Linear Separability

  11. Linear Separability

  12. Logic Gates

  13. Parallel Processing

  14. Sigmoid Neuron

  15. Sigmoid Neuron Response

  16. Neural Network

  17. Neural Network

  18. Universal Approximation

  19. Universal Approximation

  20. Universal Approximation

  21. Function Approximations

  22. Learning

  23. Gradient Descent

  24. Local Minima

  25. Backward-Error Propagation

  26. Dynamic Networks

  27. Dynamic Networks

  28. Learning through Time

  29. Pulsed Networks

  30. Pulsed Neuron

  31. Pattern Processing

  32. Response Regions

  33. Pattern Windows

  34. Pattern Windows

  35. Dynamic Pulsed Networks

  36. Applications

  37. Speech Recognition

  38. Auditory System

  39. Research Opportunities Mathematically describe pattern processing Devise pattern-learning algorithms Build circuits

  40. Title

More Related