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[] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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  • 文件大小:1GB
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文件列表

  1. 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  3. 2. Numpy (New)/7. Generating Data.mp4 63MB
  4. 1. Welcome and Logistics/1. Introduction and Outline.mp4 60MB
  5. 2. Numpy (New)/5. Matrices.mp4 57MB
  6. 2. Numpy (New)/2. Arrays vs Lists.mp4 51MB
  7. 4. Pandas (New)/3. Selecting Rows and Columns.mp4 49MB
  8. 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  9. 3. Matplotlib (New)/5. Plotting Images.mp4 39MB
  10. 6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 38MB
  11. 6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 38MB
  12. 6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 35MB
  13. 6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 29MB
  14. 2. Numpy (New)/3. Dot Product.mp4 26MB
  15. 1. Welcome and Logistics/5. Extra Resources.mp4 25MB
  16. 2. Numpy (New)/1. Numpy Section Introduction.mp4 24MB
  17. 4. Pandas (New)/2. Loading in Data.mp4 24MB
  18. 5. Scipy (New)/3. Convolution.mp4 22MB
  19. 6. Appendix FAQ/5. Python 2 vs Python 3.mp4 19MB
  20. 3. Matplotlib (New)/3. Scatterplot.mp4 18MB
  21. 6. Appendix FAQ/1. More Exercises.mp4 17MB
  22. 3. Matplotlib (New)/2. Line Chart.mp4 16MB
  23. 2. Numpy (New)/9. Suggestion Box.mp4 16MB
  24. 2. Numpy (New)/4. Speed Test.mp4 15MB
  25. 3. Matplotlib (New)/1. Matplotlib Section Introduction.mp4 15MB
  26. 5. Scipy (New)/2. PDF and CDF.mp4 14MB
  27. 2. Numpy (New)/6. Solving Linear Systems.mp4 14MB
  28. 4. Pandas (New)/6. Pandas Exercise.mp4 13MB
  29. 4. Pandas (New)/5. Plotting with Pandas.mp4 13MB
  30. 3. Matplotlib (New)/6. Matplotlib Exercise.mp4 13MB
  31. 4. Pandas (New)/4. The apply() Function.mp4 10MB
  32. 3. Matplotlib (New)/4. Histogram.mp4 10MB
  33. 5. Scipy (New)/4. Scipy Exercise.mp4 6MB
  34. 5. Scipy (New)/1. Scipy Section Introduction.mp4 6MB
  35. 4. Pandas (New)/1. Pandas Section Introduction.mp4 6MB
  36. 2. Numpy (New)/8. Numpy Exercise.mp4 5MB
  37. 6. Appendix FAQ/8. What order should I take your courses in (part 2).srt 23KB
  38. 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt 20KB
  39. 2. Numpy (New)/7. Generating Data.srt 17KB
  40. 2. Numpy (New)/5. Matrices.srt 16KB
  41. 6. Appendix FAQ/7. What order should I take your courses in (part 1).srt 16KB
  42. 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14KB
  43. 2. Numpy (New)/2. Arrays vs Lists.srt 14KB
  44. 6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.srt 14KB
  45. 1. Welcome and Logistics/1. Introduction and Outline.srt 12KB
  46. 6. Appendix FAQ/1. More Exercises.srt 10KB
  47. 4. Pandas (New)/3. Selecting Rows and Columns.srt 10KB
  48. 6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.srt 8KB
  49. 3. Matplotlib (New)/5. Plotting Images.srt 8KB
  50. 6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.srt 8KB
  51. 2. Numpy (New)/1. Numpy Section Introduction.srt 8KB
  52. 2. Numpy (New)/3. Dot Product.srt 7KB
  53. 6. Appendix FAQ/5. Python 2 vs Python 3.srt 6KB
  54. 3. Matplotlib (New)/3. Scatterplot.srt 5KB
  55. 1. Welcome and Logistics/5. Extra Resources.srt 5KB
  56. 2. Numpy (New)/9. Suggestion Box.srt 5KB
  57. 5. Scipy (New)/3. Convolution.srt 4KB
  58. 2. Numpy (New)/6. Solving Linear Systems.srt 4KB
  59. 3. Matplotlib (New)/2. Line Chart.srt 4KB
  60. 2. Numpy (New)/4. Speed Test.srt 4KB
  61. 4. Pandas (New)/2. Loading in Data.srt 4KB
  62. 3. Matplotlib (New)/1. Matplotlib Section Introduction.srt 4KB
  63. 5. Scipy (New)/2. PDF and CDF.srt 3KB
  64. 4. Pandas (New)/6. Pandas Exercise.srt 3KB
  65. 4. Pandas (New)/5. Plotting with Pandas.srt 3KB
  66. 4. Pandas (New)/4. The apply() Function.srt 3KB
  67. 3. Matplotlib (New)/4. Histogram.srt 2KB
  68. 3. Matplotlib (New)/6. Matplotlib Exercise.srt 2KB
  69. 5. Scipy (New)/1. Scipy Section Introduction.srt 2KB
  70. 4. Pandas (New)/1. Pandas Section Introduction.srt 2KB
  71. 5. Scipy (New)/4. Scipy Exercise.srt 1KB
  72. 2. Numpy (New)/8. Numpy Exercise.srt 1KB
  73. 1. Welcome and Logistics/2. What will you learn in this course.html 164B
  74. 1. Welcome and Logistics/3. What level of machine learning is taught in this course.html 164B
  75. 1. Welcome and Logistics/4. How will you practice what you learned in this course.html 164B
  76. 0. Websites you may like/[DesireCourse.Net].url 51B
  77. 1. Welcome and Logistics/[DesireCourse.Net].url 51B
  78. 4. Pandas (New)/[DesireCourse.Net].url 51B
  79. 6. Appendix FAQ/[DesireCourse.Net].url 51B
  80. [DesireCourse.Net].url 51B
  81. 0. Websites you may like/[CourseClub.Me].url 48B
  82. 1. Welcome and Logistics/[CourseClub.Me].url 48B
  83. 4. Pandas (New)/[CourseClub.Me].url 48B
  84. 6. Appendix FAQ/[CourseClub.Me].url 48B
  85. [CourseClub.Me].url 48B