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[Udemy] Python Programming Machine Learning, Deep Learning ()

  • 收录时间:2022-03-09 16:50:08
  • 文件大小:3GB
  • 下载次数:1
  • 最近下载:2022-03-09 16:50:08
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文件列表

  1. 11. Projects/2. Project - 2.mp4 169MB
  2. 6. Machine Learning/15. Choosing the right algorithm and model.mp4 148MB
  3. 5. Numpy Library/8. Using Numpy in Linear Algebra.mp4 112MB
  4. 11. Projects/1. Project - 1.mp4 102MB
  5. 6. Machine Learning/12. Unsupervised Machine Learning Methods.mp4 88MB
  6. 10. Transfer Learning/1. What is Transfer Learning.mp4 85MB
  7. 6. Machine Learning/16. Training and testing the model.mp4 84MB
  8. 11. Projects/3. Project - 3.mp4 82MB
  9. 7. Artificial Neural Network/3. Creating a Simple ANN.mp4 79MB
  10. 5. Numpy Library/5. Numpy Functions.mp4 79MB
  11. 5. Numpy Library/7. Numpy Exercises.mp4 74MB
  12. 8. Convolutional Neural Network (CNN)/1. What is CNN.mp4 72MB
  13. 11. Projects/4. Project - 4.mp4 72MB
  14. 6. Machine Learning/11. Supervised Machine Learning Methods - 4.mp4 70MB
  15. 3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets.mp4 66MB
  16. 7. Artificial Neural Network/8. What is TensorFlow.mp4 63MB
  17. 7. Artificial Neural Network/4. Tensor Operations.mp4 62MB
  18. 4. Object Oriented Programming/5. Overriding and Overloading.mp4 59MB
  19. 6. Machine Learning/10. Supervised Machine Learning Methods - 3.mp4 56MB
  20. 6. Machine Learning/9. Supervised Machine Learning Methods - 2.mp4 55MB
  21. 9. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.mp4 51MB
  22. 3. Fundamentals of Python/4. Loops.mp4 49MB
  23. 5. Numpy Library/3. Array and features.mp4 48MB
  24. 3. Fundamentals of Python/10. Exercise Solution.mp4 48MB
  25. 6. Machine Learning/7. Machine Learning Methods.mp4 46MB
  26. 7. Artificial Neural Network/7. Optimizers.mp4 42MB
  27. 7. Artificial Neural Network/2. Anatomy of Neural Network.mp4 42MB
  28. 5. Numpy Library/9. NumExpr Guide.mp4 42MB
  29. 3. Fundamentals of Python/1. Data Types in Python.mp4 41MB
  30. 6. Machine Learning/3. Turing Machine and Turing Test.mp4 41MB
  31. 3. Fundamentals of Python/6. Data Type Operators and Methods.mp4 40MB
  32. 5. Numpy Library/6. Indexing and Slicing.mp4 40MB
  33. 2. Python Setup/1. Installing Anaconda Distribution and Python.mp4 38MB
  34. 6. Machine Learning/5. Learning representations from data.mp4 35MB
  35. 3. Fundamentals of Python/3. Conditionals.mp4 35MB
  36. 4. Object Oriented Programming/2. Constructor.mp4 34MB
  37. 4. Object Oriented Programming/4. Inheritance.mp4 33MB
  38. 6. Machine Learning/6. Workflow of Machine Learning.mp4 32MB
  39. 6. Machine Learning/8. Supervised Machine Learning Methods - 1.mp4 31MB
  40. 7. Artificial Neural Network/5. Tensor Operations 2.mp4 30MB
  41. 3. Fundamentals of Python/2. Operators in Python.mp4 30MB
  42. 5. Numpy Library/1. What is Numpy.mp4 27MB
  43. 3. Fundamentals of Python/8. Functions in Python.mp4 26MB
  44. 6. Machine Learning/14. Data pre-processing.mp4 26MB
  45. 2. Python Setup/2. Overview of Jupyter Notebook and Google Colab.mp4 25MB
  46. 6. Machine Learning/17. Evaluation.mp4 24MB
  47. 6. Machine Learning/2. History of Machine Learning.mp4 24MB
  48. 4. Object Oriented Programming/3. Methods.mp4 24MB
  49. 7. Artificial Neural Network/6. Keras API.mp4 23MB
  50. 7. Artificial Neural Network/1. What is Artificial Neural Network (ANN).mp4 23MB
  51. 3. Fundamentals of Python/7. Modules in Python.mp4 21MB
  52. 6. Machine Learning/4. What is Deep Learning.mp4 21MB
  53. 6. Machine Learning/13. Gathering data.mp4 18MB
  54. 5. Numpy Library/4. Array’s Operators.mp4 18MB
  55. 4. Object Oriented Programming/1. Logic of OOP.mp4 16MB
  56. 6. Machine Learning/1. AI, Machine Learning and Deep Learning.mp4 16MB
  57. 1. Intro to Deep Learning with Python/1. Introduction to Deep Learning with Python.mp4 15MB
  58. 5. Numpy Library/2. Why Numpy.mp4 14MB
  59. 3. Fundamentals of Python/9. Exercise Analyse.mp4 6MB
  60. 5. Numpy Library/8. Using Numpy in Linear Algebra.srt 31KB
  61. 6. Machine Learning/12. Unsupervised Machine Learning Methods.srt 27KB
  62. 11. Projects/2. Project - 2.srt 21KB
  63. 7. Artificial Neural Network/8. What is TensorFlow.srt 20KB
  64. 11. Projects/1. Project - 1.srt 20KB
  65. 5. Numpy Library/5. Numpy Functions.srt 19KB
  66. 6. Machine Learning/11. Supervised Machine Learning Methods - 4.srt 19KB
  67. 10. Transfer Learning/1. What is Transfer Learning.srt 19KB
  68. 3. Fundamentals of Python/5. Lists, Tuples, Dictionaries and Sets.srt 17KB
  69. 8. Convolutional Neural Network (CNN)/1. What is CNN.srt 17KB
  70. 6. Machine Learning/7. Machine Learning Methods.srt 16KB
  71. 6. Machine Learning/10. Supervised Machine Learning Methods - 3.srt 16KB
  72. 6. Machine Learning/9. Supervised Machine Learning Methods - 2.srt 15KB
  73. 11. Projects/3. Project - 3.srt 15KB
  74. 5. Numpy Library/7. Numpy Exercises.srt 15KB
  75. 9. Recurrent Neural Network and LTSM/1. Understanding RNN and LSTM Networks.srt 15KB
  76. 11. Projects/4. Project - 4.srt 15KB
  77. 7. Artificial Neural Network/3. Creating a Simple ANN.srt 14KB
  78. 3. Fundamentals of Python/1. Data Types in Python.srt 14KB
  79. 6. Machine Learning/5. Learning representations from data.srt 13KB
  80. 6. Machine Learning/3. Turing Machine and Turing Test.srt 13KB
  81. 7. Artificial Neural Network/7. Optimizers.srt 12KB
  82. 3. Fundamentals of Python/4. Loops.srt 12KB
  83. 5. Numpy Library/3. Array and features.srt 11KB
  84. 7. Artificial Neural Network/4. Tensor Operations.srt 11KB
  85. 6. Machine Learning/6. Workflow of Machine Learning.srt 11KB
  86. 3. Fundamentals of Python/2. Operators in Python.srt 11KB
  87. 6. Machine Learning/8. Supervised Machine Learning Methods - 1.srt 10KB
  88. 7. Artificial Neural Network/2. Anatomy of Neural Network.srt 10KB
  89. 3. Fundamentals of Python/3. Conditionals.srt 10KB
  90. 4. Object Oriented Programming/5. Overriding and Overloading.srt 9KB
  91. 3. Fundamentals of Python/6. Data Type Operators and Methods.srt 9KB
  92. 6. Machine Learning/15. Choosing the right algorithm and model.srt 9KB
  93. 3. Fundamentals of Python/8. Functions in Python.srt 9KB
  94. 5. Numpy Library/6. Indexing and Slicing.srt 9KB
  95. 7. Artificial Neural Network/1. What is Artificial Neural Network (ANN).srt 8KB
  96. 7. Artificial Neural Network/6. Keras API.srt 8KB
  97. 7. Artificial Neural Network/5. Tensor Operations 2.srt 8KB
  98. 6. Machine Learning/2. History of Machine Learning.srt 8KB
  99. 5. Numpy Library/9. NumExpr Guide.srt 8KB
  100. 6. Machine Learning/17. Evaluation.srt 7KB
  101. 5. Numpy Library/1. What is Numpy.srt 7KB
  102. 6. Machine Learning/4. What is Deep Learning.srt 7KB
  103. 4. Object Oriented Programming/2. Constructor.srt 7KB
  104. 4. Object Oriented Programming/4. Inheritance.srt 7KB
  105. 3. Fundamentals of Python/10. Exercise Solution.srt 6KB
  106. 6. Machine Learning/14. Data pre-processing.srt 6KB
  107. 6. Machine Learning/16. Training and testing the model.srt 6KB
  108. 2. Python Setup/2. Overview of Jupyter Notebook and Google Colab.srt 6KB
  109. 6. Machine Learning/13. Gathering data.srt 6KB
  110. 1. Intro to Deep Learning with Python/1. Introduction to Deep Learning with Python.srt 6KB
  111. 6. Machine Learning/1. AI, Machine Learning and Deep Learning.srt 5KB
  112. 3. Fundamentals of Python/7. Modules in Python.srt 5KB
  113. 4. Object Oriented Programming/1. Logic of OOP.srt 5KB
  114. 5. Numpy Library/2. Why Numpy.srt 5KB
  115. 2. Python Setup/1. Installing Anaconda Distribution and Python.srt 5KB
  116. 5. Numpy Library/4. Array’s Operators.srt 4KB
  117. 4. Object Oriented Programming/3. Methods.srt 4KB
  118. 3. Fundamentals of Python/9. Exercise Analyse.srt 2KB