lect

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1. 1▶Pascal Poupart, Sum Product Networks, Oct 19 2017Fall 2017 STAT 946: Deep LearningNotes
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2. 2▶Pascal Poupart, Sum Product Networks, Oct 17 2017Fall 2017 STAT 946: Deep LearningNotes
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3. 3▶Ali Ghodsi, Deep Learning, Oct 12 28 2017, [Lect 6.1]Fall 2017 STAT 946: Deep LearningNotes
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4. 4▶Ali Ghodsi, Deep Learning, CNN, Oct 3, 2017 [Lect 6]Fall 2017 STAT 946: Deep LearningNotes
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5. 5▶Ali Ghodsi, Deep Learning, Oct 5, 2017, [Lect 7]Fall 2017 STAT 946: Deep LearningNotes
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6. 6▶Ali Ghodsi, Deep Learning, Sept 28 2017, [Lect 5]Fall 2017 STAT 946: Deep LearningNotes
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7. 7▶Ali Ghodsi, Deep Learning, Regularization, Sep 26, 2017 [Lect 4]Fall 2017 STAT 946: Deep LearningNotes
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8. 8▶17Sept14 STAT 946Fall 2017 STAT 946: Deep LearningNotes
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9. 9▶17Sept19Fall 2017 STAT 946: Deep LearningNotes
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10. 10▶17Sept12 946Fall 2017 STAT 946: Deep LearningNotes
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11. 11▶Lect.5A: Population, Samples, Sampling Distribution02402 Introduction to Statistics E12Notes
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12. 12▶Lect.10D: Bootstrap Confidence Intervals, One-Sample, Including Example Lecture 1002402 Introduction to Statistics E12Notes
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13. 13▶Lect.6F: R And The Numbers Of The Day02402 Introduction to Statistics E12Notes
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14. 14▶Lec.1C: Summary Statistics02402 Introduction to Statistics E12Notes
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15. 15▶Lect.7F: Paired T-Test02402 Introduction to Statistics E12Notes
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16. 16▶Lect.9D: Hypothesis Test For One Proportion, Including Example Lecture 902402 Introduction to Statistics E12Notes
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17. 17▶Lect.12E: Oneway Anova, Example Lecture 1202402 Introduction to Statistics E12Notes
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18. 18▶Lec.2C: Binomial Distribution, Example02402 Introduction to Statistics E12Notes
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19. 19▶Extra Math Lecture 2: The mean of the binomial distribution02402 Introduction to Statistics E12Notes
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20. 20▶EXTRA MATH 6D: MAximum likelihood estimation for the normal model02402 Introduction to Statistics E12Notes
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21. 21▶Computer Graphics 2012, Lect. 8(1) - Clipping and CullingComputer Graphics 2012Notes
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22. 22▶Computer Graphics 2012, Lect. 7(2) - Perspective ProjectionComputer Graphics 2012Notes
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23. 23▶Computer Graphics 2012, Lect. 7(1) - Perspective ProjectionComputer Graphics 2012Notes
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24. 24▶Computer Graphics 2012, Lect. 6(1) - Texture MappingComputer Graphics 2012Notes
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25. 25▶Computer Graphics 2012, Lect. 6(2) - Texture MappingComputer Graphics 2012Notes
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26. 26▶Computer Graphics 2012, Lect. 5(2) - Linear and Affine TransformationsComputer Graphics 2012Notes
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27. 27▶Computer Graphics 2012, Lect. 5(1) - Linear and Affine TransformationsComputer Graphics 2012Notes
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28. 28▶Computer Graphics 2012, Lect. 4(2) - Matrices and DeterminantsComputer Graphics 2012Notes
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29. 29▶Computer Graphics 2012, Lect. 4(1) - Matrices and DeterminantsComputer Graphics 2012Notes
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30. 30▶Computer Graphics 2012, Lect. 3(2) - Curves, Surfaces, and ShadingComputer Graphics 2012Notes
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