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[] Udemy - Deep Learning Advanced Computer Vision

  • 收录时间:2019-06-03 04:03:13
  • 文件大小:1GB
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  • 最近下载:2021-01-21 20:55:55
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文件列表

  1. 9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 7. Bonus Class Activation Maps/2. Class Activation Maps (Code).mp4 105MB
  3. 8. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 97MB
  4. 8. Basics Review/1. (Review) Tensorflow Basics.mp4 82MB
  5. 9. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  6. 8. Basics Review/4. (Review) Keras Neural Network in Code.mp4 66MB
  7. 7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp4 53MB
  8. 9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  9. 9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
  10. 8. Basics Review/5. (Review) Keras Functional API.mp4 39MB
  11. 3. VGG and Transfer Learning/3. Transfer Learning.mp4 38MB
  12. 9. Appendix/12. What order should I take your courses in (part 2).mp4 38MB
  13. 9. Appendix/11. What order should I take your courses in (part 1).mp4 29MB
  14. 8. Basics Review/3. (Review) Keras Discussion.mp4 28MB
  15. 5. Object Detection (SSD)/8. Modifying SSD to work on Video.mp4 25MB
  16. 9. Appendix/5. How to Code by Yourself (part 1).mp4 25MB
  17. 6. Neural Style Transfer/2. Style Transfer Theory.mp4 20MB
  18. 2. Review/1. Review of CNNs.mp4 19MB
  19. 5. Object Detection (SSD)/7. SSD in Tensorflow.mp4 17MB
  20. 6. Neural Style Transfer/5. Code pt 2.mp4 16MB
  21. 9. Appendix/4. How to Succeed in this Course (Long Version).mp4 13MB
  22. 3. VGG and Transfer Learning/2. What's so special about VGG.mp4 12MB
  23. 3. VGG and Transfer Learning/6. Code pt 1.mp4 12MB
  24. 4. ResNet (and Inception)/2. ResNet Architecture.mp4 10MB
  25. 4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).mp4 10MB
  26. 6. Neural Style Transfer/4. Code pt 1.mp4 9MB
  27. 4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.mp4 9MB
  28. 9. Appendix/6. How to Code by Yourself (part 2).mp4 9MB
  29. 3. VGG and Transfer Learning/7. Code pt 2.mp4 9MB
  30. 5. Object Detection (SSD)/4. How would you find an object in an image.mp4 8MB
  31. 1. Welcome/1. Introduction.mp4 8MB
  32. 2. Review/4. Review of CNNs in Code.mp4 8MB
  33. 1. Welcome/2. Outline and Perspective.mp4 7MB
  34. 4. ResNet (and Inception)/14. Different sized images using the same network.mp4 7MB
  35. 6. Neural Style Transfer/3. Optimizing the Loss.mp4 7MB
  36. 4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.mp4 6MB
  37. 4. ResNet (and Inception)/9. Building ResNet - Putting it all together.mp4 6MB
  38. 6. Neural Style Transfer/6. Code pt 3.mp4 6MB
  39. 5. Object Detection (SSD)/1. SSD Section Intro.mp4 6MB
  40. 5. Object Detection (SSD)/2. Object Localization.mp4 6MB
  41. 9. Appendix/10. Python 2 vs Python 3.mp4 5MB
  42. 9. Appendix/1. What is the Appendix.mp4 5MB
  43. 4. ResNet (and Inception)/13. Optional Inception.mp4 5MB
  44. 5. Object Detection (SSD)/3. What is Object Detection.mp4 5MB
  45. 5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.vtt 5MB
  46. 5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.mp4 5MB
  47. 3. VGG and Transfer Learning/8. Code pt 3.mp4 4MB
  48. 4. ResNet (and Inception)/15. ResNet Section Summary.mp4 4MB
  49. 5. Object Detection (SSD)/5. The Problem of Scale.mp4 4MB
  50. 4. ResNet (and Inception)/7. Building ResNet - First Few Layers.mp4 4MB
  51. 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp4 4MB
  52. 5. Object Detection (SSD)/6. The Problem of Shape.mp4 4MB
  53. 4. ResNet (and Inception)/11. Applying ResNet.mp4 4MB
  54. 9. Appendix/9. Where to get discount coupons and FREE deep learning material.mp4 3MB
  55. 1. Welcome/3. How to Succeed in this Course.mp4 3MB
  56. 2. Review/3. Fashion MNIST.mp4 3MB
  57. 3. VGG and Transfer Learning/9. VGG Section Summary.mp4 3MB
  58. 4. ResNet (and Inception)/12. 1x1 Convolutions.mp4 3MB
  59. 6. Neural Style Transfer/1. Style Transfer Section Intro.mp4 3MB
  60. 4. ResNet (and Inception)/1. ResNet Section Intro.mp4 3MB
  61. 5. Object Detection (SSD)/10. SSD Section Summary.mp4 3MB
  62. 3. VGG and Transfer Learning/1. VGG Section Intro.mp4 3MB
  63. 4. ResNet (and Inception)/3. Building ResNet - Strategy.mp4 3MB
  64. 6. Neural Style Transfer/7. Style Transfer Section Summary.mp4 3MB
  65. 4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.mp4 2MB
  66. 2. Review/2. Where to get the code and data.mp4 2MB
  67. 4. ResNet (and Inception)/10. Exercise Apply ResNet.mp4 2MB
  68. 3. VGG and Transfer Learning/5. Getting the data.mp4 2MB
  69. 9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28KB
  70. 9. Appendix/12. What order should I take your courses in (part 2).vtt 20KB
  71. 9. Appendix/5. How to Code by Yourself (part 1).vtt 20KB
  72. 9. Appendix/2. Windows-Focused Environment Setup 2018.vtt 17KB
  73. 4. ResNet (and Inception)/2. ResNet Architecture.vtt 15KB
  74. 9. Appendix/11. What order should I take your courses in (part 1).vtt 14KB
  75. 9. Appendix/4. How to Succeed in this Course (Long Version).vtt 13KB
  76. 6. Neural Style Transfer/2. Style Transfer Theory.vtt 13KB
  77. 9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12KB
  78. 9. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.vtt 12KB
  79. 2. Review/1. Review of CNNs.vtt 12KB
  80. 9. Appendix/6. How to Code by Yourself (part 2).vtt 12KB
  81. 3. VGG and Transfer Learning/6. Code pt 1.vtt 11KB
  82. 5. Object Detection (SSD)/7. SSD in Tensorflow.vtt 10KB
  83. 3. VGG and Transfer Learning/3. Transfer Learning.vtt 9KB
  84. 5. Object Detection (SSD)/4. How would you find an object in an image.vtt 9KB
  85. 6. Neural Style Transfer/3. Optimizing the Loss.vtt 9KB
  86. 7. Bonus Class Activation Maps/2. Class Activation Maps (Code).vtt 9KB
  87. 6. Neural Style Transfer/4. Code pt 1.vtt 8KB
  88. 8. Basics Review/3. (Review) Keras Discussion.vtt 8KB
  89. 6. Neural Style Transfer/5. Code pt 2.vtt 8KB
  90. 3. VGG and Transfer Learning/2. What's so special about VGG.vtt 8KB
  91. 1. Welcome/2. Outline and Perspective.vtt 8KB
  92. 7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).vtt 8KB
  93. 4. ResNet (and Inception)/13. Optional Inception.vtt 8KB
  94. 5. Object Detection (SSD)/2. Object Localization.vtt 7KB
  95. 4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.vtt 7KB
  96. 2. Review/4. Review of CNNs in Code.vtt 7KB
  97. 8. Basics Review/4. (Review) Keras Neural Network in Code.vtt 6KB
  98. 5. Object Detection (SSD)/1. SSD Section Intro.vtt 5KB
  99. 9. Appendix/10. Python 2 vs Python 3.vtt 5KB
  100. 8. Basics Review/1. (Review) Tensorflow Basics.vtt 5KB
  101. 5. Object Detection (SSD)/8. Modifying SSD to work on Video.vtt 5KB
  102. 4. ResNet (and Inception)/14. Different sized images using the same network.vtt 5KB
  103. 8. Basics Review/2. (Review) Tensorflow Neural Network in Code.vtt 5KB
  104. 8. Basics Review/5. (Review) Keras Functional API.vtt 5KB
  105. 4. ResNet (and Inception)/9. Building ResNet - Putting it all together.vtt 5KB
  106. 4. ResNet (and Inception)/12. 1x1 Convolutions.vtt 4KB
  107. 4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).vtt 4KB
  108. 3. VGG and Transfer Learning/7. Code pt 2.vtt 4KB
  109. 5. Object Detection (SSD)/6. The Problem of Shape.vtt 4KB
  110. 5. Object Detection (SSD)/5. The Problem of Scale.vtt 4KB
  111. 4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.vtt 4KB
  112. 2. Review/3. Fashion MNIST.vtt 4KB
  113. 6. Neural Style Transfer/6. Code pt 3.vtt 4KB
  114. 3. VGG and Transfer Learning/8. Code pt 3.vtt 4KB
  115. 1. Welcome/3. How to Succeed in this Course.vtt 3KB
  116. 3. VGG and Transfer Learning/1. VGG Section Intro.vtt 3KB
  117. 4. ResNet (and Inception)/1. ResNet Section Intro.vtt 3KB
  118. 6. Neural Style Transfer/1. Style Transfer Section Intro.vtt 3KB
  119. 9. Appendix/1. What is the Appendix.vtt 3KB
  120. 5. Object Detection (SSD)/3. What is Object Detection.vtt 3KB
  121. 5. Object Detection (SSD)/10. SSD Section Summary.vtt 3KB
  122. 9. Appendix/9. Where to get discount coupons and FREE deep learning material.vtt 3KB
  123. 1. Welcome/1. Introduction.vtt 3KB
  124. 2. Review/2. Where to get the code and data.vtt 3KB
  125. 4. ResNet (and Inception)/11. Applying ResNet.vtt 3KB
  126. 4. ResNet (and Inception)/7. Building ResNet - First Few Layers.vtt 3KB
  127. 4. ResNet (and Inception)/3. Building ResNet - Strategy.vtt 3KB
  128. 6. Neural Style Transfer/7. Style Transfer Section Summary.vtt 3KB
  129. 4. ResNet (and Inception)/15. ResNet Section Summary.vtt 3KB
  130. 3. VGG and Transfer Learning/5. Getting the data.vtt 3KB
  131. 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.vtt 2KB
  132. 3. VGG and Transfer Learning/9. VGG Section Summary.vtt 2KB
  133. 4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.vtt 2KB
  134. 4. ResNet (and Inception)/10. Exercise Apply ResNet.vtt 1KB
  135. [FCS Forum].url 133B
  136. [FreeCourseSite.com].url 127B