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[] [UDEMY] Algorithmic Problems in Python [FTU]

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  • 文件大小:907MB
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文件列表

  1. 5. Neural Network Implementation/7. Neural network implementation - testing.mp4 68MB
  2. 3. Dynamic Programming/4. Knapsack problem introduction.mp4 31MB
  3. 5. Neural Network Implementation/6. Neural network implementation - mean squared error.mp4 31MB
  4. 3. Dynamic Programming/5. Knapsack problem example.mp4 30MB
  5. 2. Backtracking/3. N-queens problem implementation.mp4 29MB
  6. 4. Neural Network Theory/12. Optimization - cost function.mp4 26MB
  7. 2. Backtracking/6. Hamiltonian cycle implementation.mp4 25MB
  8. 5. Neural Network Implementation/5. Neural network implementation - backpropagation.mp4 24MB
  9. 2. Backtracking/2. N-queens problem introduction.mp4 23MB
  10. 3. Dynamic Programming/7. Coin change problem introduction.mp4 22MB
  11. 2. Backtracking/7. Coloring problem introduction.mp4 22MB
  12. 2. Backtracking/4. Hamiltonian cycle introduction.mp4 22MB
  13. 2. Backtracking/10. Knight tour implementation.mp4 21MB
  14. 2. Backtracking/13. Maze problem implementation.mp4 21MB
  15. 4. Neural Network Theory/17. Gradient calculation I - output layer.mp4 20MB
  16. 4. Neural Network Theory/13. Simplified feedforward network.mp4 19MB
  17. 4. Neural Network Theory/2. Axons and neurons in the human brain.mp4 19MB
  18. 3. Dynamic Programming/11. Rod cutting problem example.mp4 19MB
  19. 3. Dynamic Programming/6. Knapsack problem implementation.mp4 19MB
  20. 4. Neural Network Theory/11. Feedforward neural networks.mp4 18MB
  21. 3. Dynamic Programming/9. Coin change problem implementation.mp4 18MB
  22. 2. Backtracking/8. Coloring problem implementation.mp4 17MB
  23. 4. Neural Network Theory/5. Artificial neurons - the model.mp4 16MB
  24. 4. Neural Network Theory/3. Modeling human brain.mp4 16MB
  25. 5. Neural Network Implementation/3. Neural network implementation - initialize.mp4 15MB
  26. 4. Neural Network Theory/14. Feedforward neural network topology.mp4 15MB
  27. 3. Dynamic Programming/12. Rod cutting problem implementation.mp4 15MB
  28. 2. Backtracking/1. Backtracking introduction.mp4 14MB
  29. 4. Neural Network Theory/6. Artificial neurons - activation functions.mp4 14MB
  30. 4. Neural Network Theory/16. Error calculation.mp4 14MB
  31. 3. Dynamic Programming/8. Coin change problem example.mp4 14MB
  32. 5. Neural Network Implementation/4. Neural network implementation - feedforward.mp4 13MB
  33. 3. Dynamic Programming/2. Fibonacci numbers introduction.mp4 13MB
  34. 4. Neural Network Theory/15. The learning algorithm.mp4 13MB
  35. 2. Backtracking/5. Hamiltonian cycle illustration.mp4 13MB
  36. 3. Dynamic Programming/10. Rod cutting problem introduction.mp4 13MB
  37. 4. Neural Network Theory/19. Backpropagation.mp4 13MB
  38. 3. Dynamic Programming/3. Fibonacci numbers implementation.mp4 12MB
  39. 1. Introduction/1. Introduction.mp4 12MB
  40. 4. Neural Network Theory/7. Artificial neurons - an example.mp4 11MB
  41. 4. Neural Network Theory/8. Neural networks - the big picture.mp4 11MB
  42. 5. Neural Network Implementation/1. Neural network implementation - representations.mp4 10MB
  43. 4. Neural Network Theory/22. Applications of neural networks II - stock market forecast.mp4 10MB
  44. 4. Neural Network Theory/23. Deep learning.mp4 9MB
  45. 4. Neural Network Theory/18. Gradient calculation II - hidden layer.mp4 9MB
  46. 2. Backtracking/9. Knight tour introduction.mp4 9MB
  47. 2. Backtracking/14. NP-complete problems.mp4 9MB
  48. 4. Neural Network Theory/21. Applications of neural networks I - character recognition.mp4 9MB
  49. 3. Dynamic Programming/1. Dynamic programming introduction.mp4 9MB
  50. 5. Neural Network Implementation/2. Neural network implementation - helper methods.mp4 8MB
  51. 2. Backtracking/12. Maze problem introduction.mp4 7MB
  52. 4. Neural Network Theory/4. Learning paradigms.mp4 6MB
  53. 4. Neural Network Theory/9. Applications of neural networks.mp4 5MB
  54. 4. Neural Network Theory/20. Backpropagation II.mp4 5MB
  55. 2. Backtracking/3. N-queens problem implementation.vtt 14KB
  56. 3. Dynamic Programming/5. Knapsack problem example.vtt 14KB
  57. 3. Dynamic Programming/4. Knapsack problem introduction.vtt 14KB
  58. 2. Backtracking/2. N-queens problem introduction.vtt 12KB
  59. 4. Neural Network Theory/12. Optimization - cost function.vtt 12KB
  60. 2. Backtracking/6. Hamiltonian cycle implementation.vtt 11KB
  61. 2. Backtracking/7. Coloring problem introduction.vtt 11KB
  62. 3. Dynamic Programming/7. Coin change problem introduction.vtt 10KB
  63. 2. Backtracking/4. Hamiltonian cycle introduction.vtt 10KB
  64. 2. Backtracking/10. Knight tour implementation.vtt 10KB
  65. 4. Neural Network Theory/2. Axons and neurons in the human brain.vtt 9KB
  66. 3. Dynamic Programming/11. Rod cutting problem example.vtt 9KB
  67. 4. Neural Network Theory/17. Gradient calculation I - output layer.vtt 9KB
  68. 2. Backtracking/13. Maze problem implementation.vtt 9KB
  69. 4. Neural Network Theory/13. Simplified feedforward network.vtt 9KB
  70. 4. Neural Network Theory/11. Feedforward neural networks.vtt 9KB
  71. 5. Neural Network Implementation/5. Neural network implementation - backpropagation.vtt 9KB
  72. 3. Dynamic Programming/9. Coin change problem implementation.vtt 8KB
  73. 4. Neural Network Theory/3. Modeling human brain.vtt 8KB
  74. 2. Backtracking/8. Coloring problem implementation.vtt 8KB
  75. 3. Dynamic Programming/6. Knapsack problem implementation.vtt 8KB
  76. 4. Neural Network Theory/5. Artificial neurons - the model.vtt 7KB
  77. 2. Backtracking/1. Backtracking introduction.vtt 7KB
  78. 3. Dynamic Programming/12. Rod cutting problem implementation.vtt 7KB
  79. 2. Backtracking/5. Hamiltonian cycle illustration.vtt 7KB
  80. 4. Neural Network Theory/6. Artificial neurons - activation functions.vtt 7KB
  81. 3. Dynamic Programming/8. Coin change problem example.vtt 7KB
  82. 4. Neural Network Theory/14. Feedforward neural network topology.vtt 7KB
  83. 4. Neural Network Theory/16. Error calculation.vtt 7KB
  84. 3. Dynamic Programming/2. Fibonacci numbers introduction.vtt 6KB
  85. 4. Neural Network Theory/15. The learning algorithm.vtt 6KB
  86. 3. Dynamic Programming/10. Rod cutting problem introduction.vtt 6KB
  87. 5. Neural Network Implementation/7. Neural network implementation - testing.vtt 6KB
  88. 5. Neural Network Implementation/3. Neural network implementation - initialize.vtt 6KB
  89. 4. Neural Network Theory/19. Backpropagation.vtt 6KB
  90. 3. Dynamic Programming/3. Fibonacci numbers implementation.vtt 5KB
  91. 5. Neural Network Implementation/4. Neural network implementation - feedforward.vtt 5KB
  92. 4. Neural Network Theory/8. Neural networks - the big picture.vtt 5KB
  93. 5. Neural Network Implementation/1. Neural network implementation - representations.vtt 5KB
  94. 4. Neural Network Theory/22. Applications of neural networks II - stock market forecast.vtt 5KB
  95. 4. Neural Network Theory/7. Artificial neurons - an example.vtt 5KB
  96. 4. Neural Network Theory/23. Deep learning.vtt 5KB
  97. 2. Backtracking/14. NP-complete problems.vtt 4KB
  98. 4. Neural Network Theory/21. Applications of neural networks I - character recognition.vtt 4KB
  99. 2. Backtracking/9. Knight tour introduction.vtt 4KB
  100. 4. Neural Network Theory/18. Gradient calculation II - hidden layer.vtt 4KB
  101. 2. Backtracking/12. Maze problem introduction.vtt 4KB
  102. 5. Neural Network Implementation/6. Neural network implementation - mean squared error.vtt 4KB
  103. 3. Dynamic Programming/1. Dynamic programming introduction.vtt 4KB
  104. 5. Neural Network Implementation/2. Neural network implementation - helper methods.vtt 4KB
  105. 7. BONUS/1. DISCOUNT FOR OTHER COURSES!.html 4KB
  106. 4. Neural Network Theory/4. Learning paradigms.vtt 3KB
  107. 4. Neural Network Theory/9. Applications of neural networks.vtt 2KB
  108. 1. Introduction/1. Introduction.vtt 2KB
  109. 4. Neural Network Theory/20. Backpropagation II.vtt 2KB
  110. 2. Backtracking/11. UPDATE Knight's Tour.html 716B
  111. 0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url 328B
  112. 0. Websites you may like/5. (Discuss.FTUForum.com) FTU Discussion Forum.url 294B
  113. 0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286B
  114. 0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url 239B
  115. 0. Websites you may like/How you can help Team-FTU.txt 237B
  116. 0. Websites you may like/3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url 163B
  117. 6. Course Materials (DOWNLOADS)/1. Course material.html 157B
  118. 4. Neural Network Theory/10. ---------- BACKPROPAGATION ----------.html 42B
  119. 4. Neural Network Theory/1. ---------- NEURAL NETWORKS INTRODUCTION ----------.html 35B