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[] Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!)

  • 收录时间:2020-05-31 08:03:27
  • 文件大小:2GB
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  • 最近下载:2020-12-01 09:14:33
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文件列表

  1. 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 186MB
  2. 7. Class Activation Maps/2. Class Activation Maps (Code).mp4 105MB
  3. 10. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 97MB
  4. 8. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91MB
  5. 5. Object Detection (SSD RetinaNet)/9. Using Pretrained RetinaNet.mp4 88MB
  6. 8. GANs (Generative Adversarial Networks)/3. GAN Code.mp4 82MB
  7. 10. Basics Review/1. (Review) Tensorflow Basics.mp4 82MB
  8. 11. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp4 78MB
  9. 9. Object Localization Project/16. Localization Code (pt 7).mp4 77MB
  10. 10. Basics Review/4. (Review) Keras Neural Network in Code.mp4 66MB
  11. 9. Object Localization Project/1. Localization Introduction and Outline.mp4 63MB
  12. 5. Object Detection (SSD RetinaNet)/12. RetinaNet with Custom Dataset (pt 3).mp4 62MB
  13. 5. Object Detection (SSD RetinaNet)/11. RetinaNet with Custom Dataset (pt 2).mp4 61MB
  14. 9. Object Localization Project/12. Localization Code (pt 5).mp4 60MB
  15. 9. Object Localization Project/6. Localization Code (pt 2).mp4 59MB
  16. 2. Review/4. Review of CNNs in Code.mp4 57MB
  17. 9. Object Localization Project/14. Localization Code (pt 6).mp4 57MB
  18. 9. Object Localization Project/4. Localization Code (pt 1).mp4 54MB
  19. 7. Class Activation Maps/1. Class Activation Maps (Theory).mp4 53MB
  20. 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 44MB
  21. 9. Object Localization Project/11. Localization Code Outline (pt 5).mp4 43MB
  22. 9. Object Localization Project/2. Localization Code Outline (pt 1).mp4 41MB
  23. 11. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39MB
  24. 10. Basics Review/5. (Review) Keras Functional API.mp4 39MB
  25. 3. VGG and Transfer Learning/3. Transfer Learning.mp4 38MB
  26. 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 38MB
  27. 11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 38MB
  28. 5. Object Detection (SSD RetinaNet)/7. 2020 Update - More Fun and Excitement.mp4 35MB
  29. 9. Object Localization Project/13. Localization Code Outline (pt 6).mp4 34MB
  30. 9. Object Localization Project/8. Localization Code (pt 3).mp4 30MB
  31. 11. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 29MB
  32. 10. Basics Review/3. (Review) Keras Discussion.mp4 28MB
  33. 5. Object Detection (SSD RetinaNet)/10. RetinaNet with Custom Dataset (pt 1).mp4 27MB
  34. 4. ResNet (and Inception)/4. Uh-oh! What Happens if the Implementation Changes.mp4 25MB
  35. 11. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25MB
  36. 9. Object Localization Project/15. Localization Code Outline (pt 7).mp4 21MB
  37. 6. Neural Style Transfer/2. Style Transfer Theory.mp4 20MB
  38. 9. Object Localization Project/5. Localization Code Outline (pt 2).mp4 19MB
  39. 2. Review/1. Review of CNNs.mp4 19MB
  40. 6. Neural Style Transfer/5. Code pt 2.mp4 16MB
  41. 9. Object Localization Project/9. Localization Code Outline (pt 4).mp4 14MB
  42. 9. Object Localization Project/10. Localization Code (pt 4).mp4 13MB
  43. 11. Appendix FAQ/4. How to Succeed in this Course (Long Version).mp4 13MB
  44. 9. Object Localization Project/7. Localization Code Outline (pt 3).mp4 12MB
  45. 3. VGG and Transfer Learning/2. What's so special about VGG.mp4 12MB
  46. 3. VGG and Transfer Learning/6. Code pt 1.mp4 12MB
  47. 4. ResNet (and Inception)/2. ResNet Architecture.mp4 10MB
  48. 4. ResNet (and Inception)/9. Building ResNet - First Few Layers (Code).mp4 10MB
  49. 10. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4 10MB
  50. 6. Neural Style Transfer/4. Code pt 1.mp4 9MB
  51. 4. ResNet (and Inception)/6. Building ResNet - Conv Block Code.mp4 9MB
  52. 11. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 9MB
  53. 3. VGG and Transfer Learning/7. Code pt 2.mp4 9MB
  54. 5. Object Detection (SSD RetinaNet)/4. How would you find an object in an image.mp4 8MB
  55. 1. Welcome/1. Introduction.mp4 8MB
  56. 1. Welcome/2. Outline and Perspective.mp4 7MB
  57. 4. ResNet (and Inception)/15. Different sized images using the same network.mp4 7MB
  58. 6. Neural Style Transfer/3. Optimizing the Loss.mp4 7MB
  59. 4. ResNet (and Inception)/5. Building ResNet - Conv Block Details.mp4 6MB
  60. 4. ResNet (and Inception)/10. Building ResNet - Putting it all together.mp4 6MB
  61. 6. Neural Style Transfer/6. Code pt 3.mp4 6MB
  62. 5. Object Detection (SSD RetinaNet)/1. SSD Section Intro.mp4 6MB
  63. 5. Object Detection (SSD RetinaNet)/2. Object Localization.mp4 6MB
  64. 11. Appendix FAQ/9. Python 2 vs Python 3.mp4 5MB
  65. 11. Appendix FAQ/1. What is the Appendix.mp4 5MB
  66. 4. ResNet (and Inception)/14. Optional Inception.mp4 5MB
  67. 5. Object Detection (SSD RetinaNet)/3. What is Object Detection.mp4 5MB
  68. 5. Object Detection (SSD RetinaNet)/13. Optional Intersection over Union & Non-max Suppression.mp4 5MB
  69. 3. VGG and Transfer Learning/8. Code pt 3.mp4 4MB
  70. 4. ResNet (and Inception)/16. ResNet Section Summary.mp4 4MB
  71. 5. Object Detection (SSD RetinaNet)/5. The Problem of Scale.mp4 4MB
  72. 4. ResNet (and Inception)/8. Building ResNet - First Few Layers.mp4 4MB
  73. 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp4 4MB
  74. 5. Object Detection (SSD RetinaNet)/6. The Problem of Shape.mp4 4MB
  75. 4. ResNet (and Inception)/12. Applying ResNet.mp4 4MB
  76. 1. Welcome/3. How to Succeed in this Course.mp4 3MB
  77. 2. Review/3. Fashion MNIST.mp4 3MB
  78. 3. VGG and Transfer Learning/9. VGG Section Summary.mp4 3MB
  79. 4. ResNet (and Inception)/13. 1x1 Convolutions.mp4 3MB
  80. 6. Neural Style Transfer/1. Style Transfer Section Intro.mp4 3MB
  81. 5. Object Detection (SSD RetinaNet)/14. SSD Section Summary.mp4 3MB
  82. 4. ResNet (and Inception)/1. ResNet Section Intro.mp4 3MB
  83. 3. VGG and Transfer Learning/1. VGG Section Intro.mp4 3MB
  84. 4. ResNet (and Inception)/3. Building ResNet - Strategy.mp4 3MB
  85. 6. Neural Style Transfer/7. Style Transfer Section Summary.mp4 3MB
  86. 4. ResNet (and Inception)/7. Building ResNet - Identity Block Details.mp4 2MB
  87. 2. Review/2. Where to get the code and data.mp4 2MB
  88. 4. ResNet (and Inception)/11. Exercise Apply ResNet.mp4 2MB
  89. 3. VGG and Transfer Learning/5. Getting the data.mp4 2MB
  90. 11. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 32KB
  91. 11. Appendix FAQ/11. What order should I take your courses in (part 2).srt 23KB
  92. 11. Appendix FAQ/5. How to Code by Yourself (part 1).srt 23KB
  93. 8. GANs (Generative Adversarial Networks)/1. GAN Theory.srt 21KB
  94. 11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt 20KB
  95. 9. Object Localization Project/1. Localization Introduction and Outline.srt 18KB
  96. 4. ResNet (and Inception)/2. ResNet Architecture.srt 17KB
  97. 11. Appendix FAQ/10. What order should I take your courses in (part 1).srt 16KB
  98. 9. Object Localization Project/16. Localization Code (pt 7).srt 15KB
  99. 8. GANs (Generative Adversarial Networks)/3. GAN Code.srt 15KB
  100. 11. Appendix FAQ/4. How to Succeed in this Course (Long Version).srt 15KB
  101. 5. Object Detection (SSD RetinaNet)/9. Using Pretrained RetinaNet.srt 15KB
  102. 11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14KB
  103. 6. Neural Style Transfer/2. Style Transfer Theory.srt 14KB
  104. 11. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.srt 14KB
  105. 9. Object Localization Project/2. Localization Code Outline (pt 1).srt 14KB
  106. 2. Review/1. Review of CNNs.srt 14KB
  107. 9. Object Localization Project/6. Localization Code (pt 2).srt 14KB
  108. 11. Appendix FAQ/6. How to Code by Yourself (part 2).srt 13KB
  109. 3. VGG and Transfer Learning/6. Code pt 1.srt 12KB
  110. 5. Object Detection (SSD RetinaNet)/11. RetinaNet with Custom Dataset (pt 2).srt 12KB
  111. 9. Object Localization Project/4. Localization Code (pt 1).srt 12KB
  112. 9. Object Localization Project/11. Localization Code Outline (pt 5).srt 11KB
  113. 5. Object Detection (SSD RetinaNet)/4. How would you find an object in an image.srt 10KB
  114. 9. Object Localization Project/12. Localization Code (pt 5).srt 10KB
  115. 3. VGG and Transfer Learning/3. Transfer Learning.srt 10KB
  116. 6. Neural Style Transfer/3. Optimizing the Loss.srt 10KB
  117. 7. Class Activation Maps/2. Class Activation Maps (Code).srt 10KB
  118. 9. Object Localization Project/14. Localization Code (pt 6).srt 10KB
  119. 6. Neural Style Transfer/4. Code pt 1.srt 10KB
  120. 9. Object Localization Project/13. Localization Code Outline (pt 6).srt 9KB
  121. 6. Neural Style Transfer/5. Code pt 2.srt 9KB
  122. 10. Basics Review/3. (Review) Keras Discussion.srt 9KB
  123. 3. VGG and Transfer Learning/2. What's so special about VGG.srt 9KB
  124. 1. Welcome/2. Outline and Perspective.srt 9KB
  125. 7. Class Activation Maps/1. Class Activation Maps (Theory).srt 9KB
  126. 4. ResNet (and Inception)/14. Optional Inception.srt 9KB
  127. 5. Object Detection (SSD RetinaNet)/7. 2020 Update - More Fun and Excitement.srt 8KB
  128. 2. Review/4. Review of CNNs in Code.srt 8KB
  129. 5. Object Detection (SSD RetinaNet)/2. Object Localization.srt 8KB
  130. 5. Object Detection (SSD RetinaNet)/12. RetinaNet with Custom Dataset (pt 3).srt 8KB
  131. 11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.srt 8KB
  132. 4. ResNet (and Inception)/6. Building ResNet - Conv Block Code.srt 8KB
  133. 10. Basics Review/4. (Review) Keras Neural Network in Code.srt 7KB
  134. 4. ResNet (and Inception)/4. Uh-oh! What Happens if the Implementation Changes.srt 7KB
  135. 9. Object Localization Project/15. Localization Code Outline (pt 7).srt 6KB
  136. 5. Object Detection (SSD RetinaNet)/13. Optional Intersection over Union & Non-max Suppression.srt 6KB
  137. 5. Object Detection (SSD RetinaNet)/1. SSD Section Intro.srt 6KB
  138. 9. Object Localization Project/5. Localization Code Outline (pt 2).srt 6KB
  139. 5. Object Detection (SSD RetinaNet)/10. RetinaNet with Custom Dataset (pt 1).srt 6KB
  140. 11. Appendix FAQ/9. Python 2 vs Python 3.srt 6KB
  141. 10. Basics Review/1. (Review) Tensorflow Basics.srt 6KB
  142. 4. ResNet (and Inception)/15. Different sized images using the same network.srt 6KB
  143. 10. Basics Review/2. (Review) Tensorflow Neural Network in Code.srt 6KB
  144. 10. Basics Review/5. (Review) Keras Functional API.srt 5KB
  145. 4. ResNet (and Inception)/10. Building ResNet - Putting it all together.srt 5KB
  146. 9. Object Localization Project/8. Localization Code (pt 3).srt 5KB
  147. 4. ResNet (and Inception)/13. 1x1 Convolutions.srt 5KB
  148. 4. ResNet (and Inception)/9. Building ResNet - First Few Layers (Code).srt 5KB
  149. 3. VGG and Transfer Learning/7. Code pt 2.srt 5KB
  150. 5. Object Detection (SSD RetinaNet)/5. The Problem of Scale.srt 5KB
  151. 5. Object Detection (SSD RetinaNet)/6. The Problem of Shape.srt 5KB
  152. 9. Object Localization Project/9. Localization Code Outline (pt 4).srt 5KB
  153. 4. ResNet (and Inception)/5. Building ResNet - Conv Block Details.srt 5KB
  154. 2. Review/3. Fashion MNIST.srt 5KB
  155. 6. Neural Style Transfer/6. Code pt 3.srt 4KB
  156. 3. VGG and Transfer Learning/8. Code pt 3.srt 4KB
  157. 9. Object Localization Project/7. Localization Code Outline (pt 3).srt 4KB
  158. 1. Welcome/3. How to Succeed in this Course.srt 4KB
  159. 3. VGG and Transfer Learning/1. VGG Section Intro.srt 4KB
  160. 4. ResNet (and Inception)/1. ResNet Section Intro.srt 4KB
  161. 11. Appendix FAQ/1. What is the Appendix.srt 4KB
  162. 6. Neural Style Transfer/1. Style Transfer Section Intro.srt 4KB
  163. 5. Object Detection (SSD RetinaNet)/3. What is Object Detection.srt 4KB
  164. 5. Object Detection (SSD RetinaNet)/14. SSD Section Summary.srt 3KB
  165. 1. Welcome/1. Introduction.srt 3KB
  166. 2. Review/2. Where to get the code and data.srt 3KB
  167. 4. ResNet (and Inception)/12. Applying ResNet.srt 3KB
  168. 4. ResNet (and Inception)/8. Building ResNet - First Few Layers.srt 3KB
  169. 4. ResNet (and Inception)/3. Building ResNet - Strategy.srt 3KB
  170. 4. ResNet (and Inception)/16. ResNet Section Summary.srt 3KB
  171. 6. Neural Style Transfer/7. Style Transfer Section Summary.srt 3KB
  172. 3. VGG and Transfer Learning/5. Getting the data.srt 3KB
  173. 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.srt 3KB
  174. 9. Object Localization Project/10. Localization Code (pt 4).srt 2KB
  175. 10. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.srt 2KB
  176. 3. VGG and Transfer Learning/9. VGG Section Summary.srt 2KB
  177. 4. ResNet (and Inception)/7. Building ResNet - Identity Block Details.srt 2KB
  178. 4. ResNet (and Inception)/11. Exercise Apply ResNet.srt 2KB
  179. Verify Files.txt 1KB
  180. 9. Object Localization Project/3. Object Localization Colab Notebooks.html 789B
  181. 5. Object Detection (SSD RetinaNet)/8. RetinaNet Notebooks.html 470B
  182. 8. GANs (Generative Adversarial Networks)/2. GAN Colab Notebook.html 246B
  183. 0. Websites you may like/[FreeAllCourse.Com].url 52B
  184. [FreeAllCourse.Com].url 52B