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1. Linear Algebra for Deep Learning‏‎ (168 revisions)
2. Calculus for Deep Learning‏‎ (102 revisions)
3. Log Loss‏‎ (95 revisions)
4. Logistic Regression‏‎ (95 revisions)
5. Main Page‏‎ (95 revisions)
6. Linear Regression‏‎ (77 revisions)
7. Lesson 6 Notes‏‎ (76 revisions)
8. Lesson 2 Notes‏‎ (64 revisions)
9. Lesson 5 Notes‏‎ (64 revisions)
10. Deep Learning Glossary‏‎ (53 revisions)
11. Gradient Descent‏‎ (49 revisions)
12. AWS install‏‎ (46 revisions)
13. Lesson 3 Notes‏‎ (46 revisions)
14. Lesson 3‏‎ (39 revisions)
15. Lesson 4 Notes‏‎ (32 revisions)
16. Deep Learning Concept Glossary‏‎ (29 revisions)
17. Lesson 1‏‎ (27 revisions)
18. Lesson 1 Notes‏‎ (24 revisions)
19. Lesson 2 Video Timeline‏‎ (23 revisions)
20. Lesson 6 Timeline‏‎ (21 revisions)
21. Frequently Asked Questions‏‎ (20 revisions)
22. Lesson 5‏‎ (18 revisions)
23. Lesson 4‏‎ (16 revisions)
24. Lesson 2‏‎ (15 revisions)
25. Lesson 7‏‎ (13 revisions)
26. Starting Over with AWS‏‎ (13 revisions)
27. Local install (Windows only:cpu)‏‎ (13 revisions)
28. AWS Spot instances‏‎ (12 revisions)
29. Lesson 7 Notes‏‎ (12 revisions)
30. How to use the Provided Notebooks‏‎ (11 revisions)
31. Image Datasets‏‎ (11 revisions)
32. Lesson-7-notes‏‎ (11 revisions)
33. Aws-alias‏‎ (11 revisions)
34. Lesson 6‏‎ (10 revisions)
35. Stochastic Gradient Descent (SGD)‏‎ (10 revisions)
36. Tmux‏‎ (10 revisions)
37. Machine Learning‏‎ (9 revisions)
38. ELI5‏‎ (9 revisions)
39. Azure install‏‎ (8 revisions)
40. Tutorials‏‎ (8 revisions)
41. How to ask for Help‏‎ (7 revisions)
42. Your Deep Learning Setup‏‎ (7 revisions)
43. Lesson 4 Timeline‏‎ (7 revisions)
44. OVH install‏‎ (7 revisions)
45. Github‏‎ (7 revisions)
46. Papers‏‎ (6 revisions)
47. SQL‏‎ (6 revisions)
48. Installation‏‎ (6 revisions)
49. Ubuntu installation‏‎ (5 revisions)
50. Over-fitting‏‎ (5 revisions)

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