neural networks part

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1. 1▶Tutorial: Exam Discussion and Assignment 2 Solution, 14.01.2021, IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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2. 2▶Kernel Methods - 11.01.2021, IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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3. 3▶Tutorial: PCA and Neural Networks - 17.12.2020 , IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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4. 4▶Feed-forward Neural Networks - Part 2 - 21.12.2020 , IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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5. 5▶Feedforward Neural Networks Part 1, 14.12.2020, IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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6. 6▶Probability Review - 12.11.2020 , IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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7. 7▶Logistic Regression Part 1 - 16.11.2020 - IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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8. 8▶Statistical Decision Making - Tutorial - 19.11.2020, IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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9. 9▶Logistic Regression Part 2 and Unsupervised Learning- 23.11.2020, IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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10. 10▶Logistic Regression, Tutorial 10.12.2020, IRHDD, TUMInformation Retrieval in High Dimensional DataNotes
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11. 11▶CAP5415 Lecture 7 [Training Neural Networks - Part 2] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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12. 12▶CAP5415 Lecture 6 [Introduction to Convolutional Neural Networks - Part 2] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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13. 13▶CAP5415 Lecture 7 [Training Neural Networks - Part 1] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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14. 14▶CAP5415 Lecture 6 [Introduction to Convolutional Neural Networks - Part 1] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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15. 15▶CAP5415 Lecture 6 [Administrative] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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16. 16▶CAP5415 Lecture 5 [Introduction to Neural Networks] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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17. 17▶CAP5415 Lecture 4 [Edge Detection - Part 2] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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18. 18▶CAP5415 Lecture 3 [Filtering - Part 2] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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19. 19▶CAP5415 Lecture 4 [Edge Detection - Part 1] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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20. 20▶CAP5415 Lecture 3 [Filtering - Part 1] - Fall 2020CAP5415 Computer Vision - Fall 2020Notes
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21. 21▶Nearest Neighbors IIDeep Learning Boot CampNotes
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22. 22▶Generative ModelsDeep Learning Boot CampNotes
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23. 23▶Implicit Regularization IIDeep Learning Boot CampNotes
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24. 24▶Implicit Regularization IDeep Learning Boot CampNotes
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25. 25▶Nearest Neighbors IDeep Learning Boot CampNotes
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26. 26▶Recent Developments in Over-parametrized Neural Networks, Part IIDeep Learning Boot CampNotes
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27. 27▶Adversarial ExamplesDeep Learning Boot CampNotes
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28. 28▶Generalization IVDeep Learning Boot CampNotes
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29. 29▶Recent Developments in Over-parametrized Neural Networks, Part IDeep Learning Boot CampNotes
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30. 30▶Generalization IIIDeep Learning Boot CampNotes
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31. 31▶[4c16/5c16] Text Processing4C16 - Lectures on Machine Learning and Deep LearningNotes
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32. 32▶F18 Lecture 11: Recurrent Neural Networks (RNNs) (Part 2)(Old) 11-785, Fall 2018Notes
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33. 33▶F18 Lecture 12: Loss functions and sequence prediction for RNNs(Old) 11-785, Fall 2018Notes
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34. 34▶F18 Lecture 10: Recurrent Neural Networks (RNNs) (Part 1)(Old) 11-785, Fall 2018Notes
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35. 35▶F18 Lecture 9: Convolutional Neural Networks (Part 2)(Old) 11-785, Fall 2018Notes
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36. 36▶F18 Lecture 8: Convolutional Neural Networks (Part 1)(Old) 11-785, Fall 2018Notes
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37. 37▶F18 Lecture 7: Optimization Part 2(Old) 11-785, Fall 2018Notes
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38. 38▶F18 Lecture 6: Optimization Part 1(Old) 11-785, Fall 2018Notes
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39. 39▶F18 Lecture 3: Neural Network Training(Old) 11-785, Fall 2018Notes
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40. 40▶F18 Lecture 5 : Backpropagation (cont.)(Old) 11-785, Fall 2018Notes
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41. 41▶F18 Lecture 4 : Backpropagation(Old) 11-785, Fall 2018Notes
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42. 42▶Lecture 11: Autoencoder for Representation Learning and MLP InitializationDeep Learning For Visual ComputingNotes
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43. 43▶Lec12 MNIST handwritten digits classification using auto encoders (Hands on)Deep Learning For Visual ComputingNotes
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44. 44▶Lec13 Fashion MNIST classification using auto encodersDeep Learning For Visual ComputingNotes
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45. 45▶Lec14 ALL-IDB Classification using auto encodersDeep Learning For Visual ComputingNotes
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46. 46▶Lec15 Retinal Vessel Detection using auto encoders (Hands on)Deep Learning For Visual ComputingNotes
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47. 47▶Lec06 Introduction to Deep Learning with Neural Networks (Part 1)Deep Learning For Visual ComputingNotes
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48. 48▶Lec07 Introduction to Deep Learning with Neural Networks (Part 2)Deep Learning For Visual ComputingNotes
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49. 49▶Lec08 Multilayer Perceptron and Deep Neural Networks (Part 1)Deep Learning For Visual ComputingNotes
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50. 50▶Lec09 Multilayer Perceptron and Deep Neural Networks (Part 2)Deep Learning For Visual ComputingNotes
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