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Type: Tutorials
Language: English
Category: Other
Size: 1.4 GB
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Files:
  1. Get Bonus Downloads Here.url 183 bytes
  2. 001 Why Should You Take This Course_.en.srt 6.4 KB
  3. 001 Why Should You Take This Course_.mp4 34.7 MB
  4. 002 Google Colab Setup.en.srt 3.7 KB
  5. 002 Google Colab Setup.mp4 18.9 MB
  6. 003 Applications.en.srt 3.8 KB
  7. 003 Applications.mp4 30.5 MB
  8. 004 Course Structure & Important Notes.en.srt 3.9 KB
  9. 004 Course Structure & Important Notes.mp4 19.7 MB
  10. 001 Data Science in Numpy - Part1 (Code).en.srt 16.8 KB
  11. 001 Data Science in Numpy - Part1 (Code).mp4 117.8 MB
  12. 002 Data Science in Pytorch - Part1 (Code).en.srt 6.8 KB
  13. 002 Data Science in Pytorch - Part1 (Code).mp4 26.1 MB
  14. 003 Data Science in Pytorch - Part 2(Code).en.srt 8.1 KB
  15. 003 Data Science in Pytorch - Part 2(Code).mp4 32.4 MB
  16. numpy_v1.ipynb 20.4 KB
  17. torch_intro.ipynb 9.2 KB
  18. torch_training_process.ipynb 64.0 KB
  19. torch_v2.ipynb 12.7 KB
  20. 001 Pytorch AutoGrad.en.srt 7.5 KB
  21. 001 Pytorch AutoGrad.mp4 44.9 MB
  22. 002 Custom CNN in Pytorch.en.srt 6.7 KB
  23. 002 Custom CNN in Pytorch.mp4 30.3 MB
  24. 001 Image Search(Basic & Cluster).en.srt 7.9 KB
  25. 001 Image Search(Basic & Cluster).mp4 53.9 MB
  26. 002 Faiss Overview.en.srt 1.5 KB
  27. 002 Faiss Overview.mp4 4.1 MB
  28. 003 Basic Image Search (Code).en.srt 6.2 KB
  29. 003 Basic Image Search (Code).mp4 32.5 MB
  30. 004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).en.srt 4.7 KB
  31. 004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).mp4 32.6 MB
  32. 005 Cluster Search (Code).en.srt 3.3 KB
  33. 005 Cluster Search (Code).mp4 17.6 MB
  34. basic_img_search_with_pretraied_resnet_trained_with_cifar10.ipynb 66.2 KB
  35. basic_search_with_resnet_imagenet.ipynb 69.4 KB
  36. cluster_search_v1.ipynb 60.4 KB
  37. faiss.ipynb 319.0 KB
  38. 001 Why Data Augmentation & History.en.srt 5.1 KB
  39. 001 Why Data Augmentation & History.mp4 21.8 MB
  40. 002 CutMix Paper Overview.en.srt 3.8 KB
  41. 002 CutMix Paper Overview.mp4 22.6 MB
  42. 003 Results of CutMix.en.srt 2.8 KB
  43. 003 Results of CutMix.mp4 15.1 MB
  44. 004 CutMix Algorithm.en.srt 2.7 KB
  45. 004 CutMix Algorithm.mp4 11.8 MB
  46. 005 CutMix (Code).en.srt 8.9 KB
  47. 005 CutMix (Code).mp4 54.6 MB
  48. 006 RandAugment.en.srt 4.8 KB
  49. 006 RandAugment.mp4 28.8 MB
  50. 007 RandAugment (Code).en.srt 3.5 KB
  51. 007 RandAugment (Code).mp4 21.9 MB
  52. cutmix.ipynb 437.5 KB
  53. randaug.ipynb 97.2 KB
  54. 001 SoftMax Think out of the box.en.srt 5.2 KB
  55. 001 SoftMax Think out of the box.mp4 22.2 MB
  56. 002 Temperature Scaling & soft softmax (code).en.srt 4.1 KB
  57. 002 Temperature Scaling & soft softmax (code).mp4 26.0 MB
  58. 003 Summery.en.srt 602 bytes
  59. 003 Summery.mp4 3.3 MB
  60. not_so_soft.ipynb 53.6 KB
  61. 001 Pretext Task.en.srt 2.9 KB
  62. 001 Pretext Task.mp4 6.9 MB
  63. 002 Overview of Unsupervised Visual Representation Learning by Context Prediction.en.srt 2.4 KB
  64. 002 Overview of Unsupervised Visual Representation Learning by Context Prediction.mp4 13.4 MB
  65. 003 Results of UVR by Context Prediction.en.srt 5.0 KB
  66. 003 Results of UVR by Context Prediction.mp4 22.0 MB
  67. 001 Overview of Jigsaw.en.srt 2.0 KB
  68. 001 Overview of Jigsaw.mp4 15.1 MB
  69. 002 Network and Training process.en.srt 5.2 KB
  70. 002 Network and Training process.mp4 22.6 MB
  71. 003 Results of JigSaw.en.srt 2.2 KB
  72. 003 Results of JigSaw.mp4 15.6 MB
  73. 001 Non-Parametric Instance-level Discrimination & Metric learning approach.en.srt 6.7 KB
  74. 001 Non-Parametric Instance-level Discrimination & Metric learning approach.mp4 39.3 MB
  75. 002 NPILD Training Process.en.srt 3.6 KB
  76. 002 NPILD Training Process.mp4 11.3 MB
  77. 003 Non Parametric Softmax.en.srt 3.4 KB
  78. 003 Non Parametric Softmax.mp4 9.3 MB
  79. 004 Noise contrastive estimation (NCE) - Part 1.en.srt 5.0 KB
  80. 004 Noise contrastive estimation (NCE) - Part 1.mp4 15.1 MB
  81. 005 FULL NCE Loss.en.srt 1.6 KB
  82. 005 FULL NCE Loss.mp4 5.1 MB
  83. 006 NPILD Put it all together.en.srt 3.6 KB
  84. 006 NPILD Put it all together.mp4 10.7 MB
  85. 007 NPILD Result.en.srt 2.4 KB
  86. 007 NPILD Result.mp4 14.3 MB
  87. 008 Non Parametric Softmax (CrossEntropy) (Code).en.srt 6.0 KB
  88. 008 Non Parametric Softmax (CrossEntropy) (Code).mp4 28.6 MB
  89. 001 Self-Supervised Learning of Pretext-Invariant Representations (PEARL) - Part 1.en.srt 5.1 KB
  90. 001 Self-Supervised Learning of Pretext-Invariant Representations (PEARL) - Part 1.mp4 27.3 MB
  91. 002 PEARL Overview Part 2.en.srt 3.9 KB
  92. 002 PEARL Overview Part 2.mp4 11.1 MB
  93. 003 PEARL Loss.en.srt 6.8 KB
  94. 003 PEARL Loss.mp4 20.4 MB
  95. 004 PEARL Results.en.srt 6.0 KB
  96. 004 PEARL Results.mp4 30.3 MB
  97. 001 NCE & Memory Bank (Code).en.srt 10.5 KB
  98. 001 NCE & Memory Bank (Code).mp4 53.2 MB
  99. 002 Network and Training NPILD & Pearl (Code).en.srt 5.9 KB
  100. 002 Network and Training NPILD & Pearl (Code).mp4 40.3 MB
  101. mock_npild_pearl.ipynb 35.8 KB
  102. non_parrametric_softmax_crossentropy.ipynb 7.3 KB
  103. npild_pearl.ipynb 808.3 KB
  104. 001 SIMCLR Overview.en.srt 4.1 KB
  105. 001 SIMCLR Overview.mp4 27.4 MB
  106. 002 SIMCLR & Multiview Batch.en.srt 4.1 KB
  107. 002 SIMCLR & Multiview Batch.mp4 18.1 MB
  108. 003 SimCLR Algorithm and Loss.en.srt 3.4 KB
  109. 003 SimCLR Algorithm and Loss.mp4 16.2 MB
  110. 004 Training Details.en.srt 1.8 KB
  111. 004 Training Details.mp4 4.2 MB
  112. 005 Softmax is invariant under translation (Important).en.srt 2.2 KB
  113. 005 Softmax is invariant under translation (Important).mp4 5.9 MB
  114. 001 Supervised Contrastive Learning.en.srt 6.4 KB
  115. 001 Supervised Contrastive Learning.mp4 31.0 MB
  116. 002 Mocking SimCLR(Code).en.srt 11.0 KB
  117. 002 Mocking SimCLR(Code).mp4 57.6 MB
  118. 003 SimClr and Supervised Contrastive Learning (Code).en.srt 7.5 KB
  119. 003 SimClr and Supervised Contrastive Learning (Code).mp4 44.8 MB
  120. mock_selfsupcon_loss.ipynb 14.2 KB
  121. selfsupcon_supcon.ipynb 453.4 KB
  122. 001 Vissl & Albumentations.en.srt 3.5 KB
  123. 001 Vissl & Albumentations.mp4 30.1 MB
  124. 002 Tips From My Expeience.en.srt 5.8 KB
  125. 002 Tips From My Expeience.mp4 14.2 MB
  126. 003 Congratulation & Few More ideas.en.srt 4.9 KB
  127. 003 Congratulation & Few More ideas.mp4 13.9 MB
  128. Bonus Resources.txt 357 bytes

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