Udemy - Tensorflow Tutorial: Hands-on AI development with Tensorflow

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Udemy - Tensorflow Tutorial: Hands-on AI development with Tensorflow
Language
English
Category
Other
Size
4.0 GB
Added
2023-06-01 23:11 (3 years, 5 months ago)
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2 seeders, 0 leechers (checked 5 days, 23 hours ago)
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Files
  1. 3. Cats vs Dogs.mp4289.5 MB
  2. TutsNode.com.txt63 bytes
  3. 3. Cats vs Dogs.srt39.8 KB
  4. 1. Fashion Clothing Recognition.srt22.2 KB
  5. 6. Digit Classification.srt21.1 KB
  6. 4. Backpropagation.srt20.7 KB
  7. 8. Facial Recognition using PCA.srt19.4 KB
  8. 6. Logistic Regression - Implementation.srt17.9 KB
  9. 3. Linear Regression - Theory.srt17.3 KB
  10. 4. Linear Regression - Implementation.srt17.0 KB
  11. 2. Convolution in CNN (part1).srt16.5 KB
  12. 1. Decision Trees - Theory.srt15.2 KB
  13. 3. Convolution in CNN (part2).srt15.0 KB
  14. 3. Graphs.srt14.9 KB
  15. 1. K-Means Algorithm (Part 1).srt14.3 KB
  16. 3. Complex Decision Boundaries.srt13.6 KB
  17. 4. Layers of CNN.srt13.0 KB
  18. 2. K-Means Algorithm (Part 2).srt12.9 KB
  19. 2. CIFAR 10 and CNN.srt12.7 KB
  20. 4. K-Means ++.srt12.6 KB
  21. 7. Principal Component Analysis.srt12.6 KB
  22. 1. What is TensorFlow 2 Preview.srt12.6 KB
  23. 6. Famous CNN Architectures.srt12.2 KB
  24. 1. Introduction.srt12.0 KB
  25. 2. Gates and Forward Propagation.srt12.0 KB
  26. 5. Digit Classification.srt11.9 KB
  27. 6. Intro to Machine Learning.srt11.8 KB
  28. 5. Logistic Regression - Theory.srt11.7 KB
  29. 2. Basics of TensorFlow.srt11.6 KB
  30. 1. Introduction.srt11.6 KB
  31. 4. Automatic Differentiation.srt11.3 KB
  32. 4. Action Recognition.srt10.4 KB
  33. 2. Decision Trees - Implementation.srt10.1 KB
  34. 7. Overfitting and Regularization.srt9.0 KB
  35. 3. Centroid Initialization.srt8.7 KB
  36. 5. Keras and TensorFlow.srt7.8 KB
  37. 5. Gradient Descent Type and Softmax.srt7.7 KB
  38. [TGx]Downloaded from torrentgalaxy.to .txt585 bytes
  39. 01009 bytes
  40. 1. Fashion Clothing Recognition.mp4156.7 MB
  41. 6. K-Means Implementation.srt7.4 KB
  42. 8. Model Evaluation - Theory.srt5.2 KB
  43. 5. Number of Clusters.srt4.6 KB
  44. 9. Model Evaluation - Implementation.srt4.0 KB
  45. 7. Types of Supervised Learning.srt3.8 KB
  46. 1289.1 KB
  47. 8. Facial Recognition using PCA.mp4149.1 MB
  48. 2914.0 KB
  49. 4. Backpropagation.mp4147.2 MB
  50. 3829.6 KB
  51. 6. Digit Classification.mp4144.4 MB
  52. 4651.4 KB
  53. 3. Linear Regression - Theory.mp4144.1 MB
  54. 5895.9 KB
  55. 1. Decision Trees - Theory.mp4138.8 MB
  56. 6245.2 KB
  57. 2. Convolution in CNN (part1).mp4137.3 MB
  58. 7743.5 KB
  59. 3. Convolution in CNN (part2).mp4131.7 MB
  60. 8301.4 KB
  61. 6. Logistic Regression - Implementation.mp4117.3 MB
  62. 9701.2 KB
  63. 4. Layers of CNN.mp4113.8 MB
  64. 10157.8 KB
  65. 6. Intro to Machine Learning.mp4112.4 MB
  66. 11564.5 KB
  67. 3. Graphs.mp4112.2 MB
  68. 12775.3 KB
  69. 3. Complex Decision Boundaries.mp4111.7 MB
  70. 13354.3 KB
  71. 7. Principal Component Analysis.mp4109.9 MB
  72. 14149.5 KB
  73. 1. Introduction.mp4109.1 MB
  74. 15912.3 KB
  75. 5. Logistic Regression - Theory.mp4107.5 MB
  76. 16465.0 KB
  77. 2. Gates and Forward Propagation.mp4104.3 MB
  78. 17749.5 KB
  79. 4. Linear Regression - Implementation.mp4104.0 MB
  80. 18996.6 KB
  81. 2. K-Means Algorithm (Part 2).mp4103.2 MB
  82. 19859.5 KB
  83. 1. Introduction.mp4100.3 MB
  84. 20724.2 KB
  85. 1. K-Means Algorithm (Part 1).mp499.9 MB
  86. 2166.7 KB
  87. 6. Famous CNN Architectures.mp496.5 MB
  88. 22562.5 KB
  89. 5. Digit Classification.mp494.0 MB
  90. 2337.1 KB
  91. 4. K-Means ++.mp490.3 MB
  92. 24695.9 KB
  93. 1. What is TensorFlow 2 Preview.mp486.9 MB
  94. 25105.0 KB
  95. 2. CIFAR 10 and CNN.mp483.6 MB
  96. 26419.9 KB
  97. 4. Action Recognition.mp482.1 MB
  98. 27926.1 KB
  99. 4. Automatic Differentiation.mp477.6 MB
  100. 28443.1 KB
  101. 7. Overfitting and Regularization.mp476.1 MB
  102. 29880.2 KB
  103. 2. Basics of TensorFlow.mp474.4 MB
  104. 30597.8 KB
  105. 5. Keras and TensorFlow.mp467.0 MB
  106. 3116.0 KB
  107. 3. Centroid Initialization.mp466.3 MB
  108. 32760.4 KB
  109. 5. Gradient Descent Type and Softmax.mp462.9 MB
  110. 33116.6 KB
  111. 2. Decision Trees - Implementation.mp460.9 MB
  112. 3469.5 KB
  113. 6. K-Means Implementation.mp450.7 MB
  114. 35307.3 KB
  115. 8. Model Evaluation - Theory.mp446.2 MB
  116. 36781.3 KB
  117. 9. Model Evaluation - Implementation.mp433.0 MB
  118. 3742.2 KB
  119. 5. Number of Clusters.mp431.8 MB
  120. 38243.2 KB
  121. 7. Types of Supervised Learning.mp427.6 MB

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