Video Kuliah Pengenalan Pola


Saya lagi belajar tentang pengenalan pola, nemu video kuliah pengenalan pola dari Ibu Masayu dari ITB. Materinya cukup lengkap

  1. Introduction : What and Why Pattern Recognition : https://www.youtube.com/watch?v=vU9_4um4gas
  2. Introduction: Pattern recognition Artificial Intelligence https://www.youtube.com/watch?v=Ns8JokH0hUc
  3. What is AI – Acting Humanly : https://www.youtube.com/watch?v=wfmM5-d0Zh0
  4. Thinking Humanly Seg03 AI Introduction NUMYouTube video   ‬
  5. Thinking Rationally Seg04 AI Introduction NUMYouTube video   ‬
  6. Acting Rationally Seg05 AI Introduction NUMYouTube video   ‪
  7. Agent & Environment Seg01 AI IntelligentAgent NUMYouTube video  
  8. Agent Model Seg02 AI IntelligentAgent NUMYouTube video  
  9. Rational Agent Seg03 AI IntelligentAgent NUMYouTube video  
  10. PEAS Seg04 AI IntelligentAgent NUMYouTube video 
  11. Task Environment Seg05 AI IntelligentAgent NUMYouTube video 
  12. Agent Level Seg06 AI IntelligentAgent NUMYouTube video  
  13. Introduction: Supervised vs Unsupervised Classification: https://www.youtube.com/watch?v=3uem5RgBomY
  14. Introduction: Pattern Recognition and intelligent Agent: https://www.youtube.com/watch?v=wfXtgm-sxzc
  15. Introduction: Pattern Recognition Approaches: https://www.youtube.com/watch?v=Zf69SS6ngLU
  16. Pattern Recognition System: Knowledge-based Recognition SystemYouTube video  ‬
  17. Template-based Recognition System: https://www.youtube.com/watch?v=Zf8qCDbedro
  18. Pattern Recognition System: Automatic Fish Sorting (Case Study)YouTube video
  19. Learning-based Pattern Recognition SystemYouTube video
  20. Bayes Decision Theory – Bayes Decision RuleYouTube video  
  21. Bayes Decision Theory – Classifier and Discriminant FunctionYouTube video 
  22. Bayes Decision Theory – Minimum Risk Bayes Decision RuleYouTube video
  23. Bayesian Network: What & Why https://www.youtube.com/watch?v=o_Fn3QAUZ7g
     
  24. Bayesian Network: Classification: https://www.youtube.com/watch?v=BdcwLJAzyK0
  25. Bayesian Network Learning https://www.youtube.com/watch?v=cx2RXJjGrCI
  26. Classification: https://www.youtube.com/watch?v=nODiPmVTlUQ
  27. Design Of Experiment : https://www.youtube.com/watch?v=QgV2OJTGMbs
  28. Classification : https://www.youtube.com/watch?v=RYB4yKF4Cvo
  29. Applying ML https://www.youtube.com/watch?v=AtbxGT21wNc
  30. ANN: Basic Concept: https://www.youtube.com/watch?v=etw-93LDJoU
  31. Feed Forward Neural Network: https://www.youtube.com/watch?v=iEra80WydQs
  32. ANN: Backpropagation: https://www.youtube.com/watch?v=4k2TsyOeD94
  33. Convolutional Neural Network, What & Why: https://www.youtube.com/watch?v=Z_bdMFCQuF0
  34. CNN: Local Connectivity & Sharing Parameter: https://www.youtube.com/watch?v=aHaudnBtv5s
  35. CNN: Convolutional Layer: https://www.youtube.com/watch?v=PLJ_70wX5cc
  36. CNN: Architecture: https://www.youtube.com/watch?v=Nma7D8hnZdg
  37. CNN Backpropagation: https://www.youtube.com/watch?v=efy8ZT_vGTE
  38. Recurrent NN: What & Why: https://www.youtube.com/watch?v=tVAabA8Hyik
  39. RNN: Forward Propagation: https://www.youtube.com/watch?v=Mobz24iNr0w
  40. RNN Architecture: https://www.youtube.com/watch?v=zAKPljOdD2A
  41. LSTM https://www.youtube.com/watch?v=w7U46SnJnhY
  42. BPTT: https://www.youtube.com/watch?v=X3FnXNb9Ero
  43. Classification: Applying ANN: https://www.youtube.com/watch?v=Z-Cmt8zpVYA
  44. Real Use Case:https://www.youtube.com/watch?v=WbcmvEkKsNE
  45. Multilabel Classification: https://www.youtube.com/watch?v=hmTmOzQbxmE
  46. Clustering https://www.youtube.com/watch?v=E5OP3FQTcu4
  47. AI K- Means: https://www.youtube.com/watch?v=stGt8yiI4Tk
  48. Pattern Recognition in Text: https://www.youtube.com/watch?v=DVHaQ7fe4To

 


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