Deep Learning in Audio for Absolute Beginners: From No Experience to a Deployed Model

Deep Learning in Audio for Absolute Beginners: From No Experience to a Deployed Model

ADC - Audio Developer Conference via YouTube Direct link

Recurrent Neural Network

26 of 39

26 of 39

Recurrent Neural Network

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Deep Learning in Audio for Absolute Beginners: From No Experience to a Deployed Model

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Introduction
  2. 2 Outline
  3. 3 My Mission
  4. 4 Music Maker Jam
  5. 5 Video Editor Jam
  6. 6 My Background
  7. 7 What is Deep Learning
  8. 8 Why Deep Learning
  9. 9 Examples
  10. 10 Myths
  11. 11 Deep Learning is easy
  12. 12 You need a lot of data
  13. 13 You need a computational cluster
  14. 14 Deep learning models can run in real time
  15. 15 Deep learning techniques
  16. 16 Deep learning book
  17. 17 Deep learning lectures
  18. 18 Deep learning research papers
  19. 19 What are the 4 steps
  20. 20 Out of the way
  21. 21 Machine Learning
  22. 22 Datasets
  23. 23 Virtual Analog Modeling
  24. 24 Neural Networks
  25. 25 Fir Filter
  26. 26 Recurrent Neural Network
  27. 27 Loss Function in Audio
  28. 28 Gradient Descent
  29. 29 HyperParameters
  30. 30 Epochs
  31. 31 Free Datasets
  32. 32 Demonstration
  33. 33 Spice Software
  34. 34 Code Base
  35. 35 Resources
  36. 36 Conclusion
  37. 37 Questions
  38. 38 Simple RNN
  39. 39 RNN Output

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.