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1. 1▶Deep Learning: Activations, Convolutions, and Pooling - Part 3 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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2. 2▶Deep Learning: Activations, Convolutions, and Pooling - Part 2 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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3. 3▶Deep Learning: Activations, Convolutions, and Pooling - Part 1 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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4. 4▶Deep Learning: Loss and Optimization - Part 3 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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5. 5▶Deep Learning: Loss and Optimization - Part 2 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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6. 6▶Deep Learning: Loss and Optimization - Part 1 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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7. 7▶Deep Learning: Feedforward Networks - Part 4 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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8. 8▶Deep Learning: Feedforward Networks - Part 3 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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9. 9▶Deep Learning: Feedforward Networks - Part 2 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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10. 10▶Deep Learning: Feedforward Networks - Part 1 (WS 20/21)Deep Learning Lecture Winter 20/21Notes
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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▶Deep Learning: Activations, Convolutions, and Pooling - Part 3Deep Learning Lecture Summer 2020Notes
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22. 22▶Deep Learning: Activations, Convolutions, and Pooling - Part 2Deep Learning Lecture Summer 2020Notes
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23. 23▶Deep Learning: Activations, Convolutions, and Pooling - Part 1Deep Learning Lecture Summer 2020Notes
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24. 24▶Deep Learning: Loss and Optimization - Part 3Deep Learning Lecture Summer 2020Notes
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25. 25▶Deep Learning: Loss and Optimization - Part 2Deep Learning Lecture Summer 2020Notes
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26. 26▶Deep Learning: Loss and Optimization - Part 1Deep Learning Lecture Summer 2020Notes
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27. 27▶Deep Learning: Feedforward Networks - Part 4Deep Learning Lecture Summer 2020Notes
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28. 28▶Deep Learning: Feedforward Networks - Part 3Deep Learning Lecture Summer 2020Notes
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29. 29▶Deep Learning: Introduction - Part 1Deep Learning Lecture Summer 2020Notes
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30. 30▶Deep Learning: Feedforward Networks - Part 2Deep Learning Lecture Summer 2020Notes
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31. 31▶Nearest Neighbors IIDeep Learning Boot CampNotes
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32. 32▶Generative ModelsDeep Learning Boot CampNotes
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33. 33▶Implicit Regularization IIDeep Learning Boot CampNotes
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34. 34▶Implicit Regularization IDeep Learning Boot CampNotes
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35. 35▶Nearest Neighbors IDeep Learning Boot CampNotes
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36. 36▶Recent Developments in Over-parametrized Neural Networks, Part IIDeep Learning Boot CampNotes
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37. 37▶Adversarial ExamplesDeep Learning Boot CampNotes
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38. 38▶Generalization IVDeep Learning Boot CampNotes
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39. 39▶Recent Developments in Over-parametrized Neural Networks, Part IDeep Learning Boot CampNotes
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40. 40▶Generalization IIIDeep Learning Boot CampNotes
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41. 41▶[4c16/5c16] Text Processing4C16 - Lectures on Machine Learning and Deep LearningNotes
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42. 42▶[4C16] Keynote - Michaela Blott - Xilinx4C16 - Lectures on Machine Learning and Deep LearningNotes
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43. 43▶[4c16] 06 - Convolutional Neural Networks4C16 - Lectures on Machine Learning and Deep LearningNotes
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44. 44▶[4c16] 05 - Deep FeedForward Neural Networks (part 2)4C16 - Lectures on Machine Learning and Deep LearningNotes
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45. 45▶[4c16] 05 - Deep FeedForward Neural Networks (part 1)4C16 - Lectures on Machine Learning and Deep LearningNotes
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46. 46▶[4c16] 04 - Evaluating Classifier Performance4C16 - Lectures on Machine Learning and Deep LearningNotes
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47. 47▶[4c16] 02 - Logistic Regression (part 1)4C16 - Lectures on Machine Learning and Deep LearningNotes
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48. 48▶[4c16] 03 - Know your Classics (part 1)4C16 - Lectures on Machine Learning and Deep LearningNotes
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49. 49▶[4c16] 01 - Least Squares (part 3)4C16 - Lectures on Machine Learning and Deep LearningNotes
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50. 50▶[4c16] 01 - Least Squares (part 2)4C16 - Lectures on Machine Learning and Deep LearningNotes
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