589689.xyz

[] Udemy - Deep Learning and Computer Vision A-Z™ OpenCV, SSD & GANs

  • 收录时间:2020-02-02 02:11:56
  • 文件大小:4GB
  • 下载次数:55
  • 最近下载:2021-01-11 14:27:23
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 6. Module 2 - Object Detection with SSD/11.1 Training_SSD.zip.zip 3GB
  2. 7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/3.1 Homework.zip.zip 121MB
  3. 7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/2. Homework Challenge - Solution (Video).mp4 62MB
  4. 4. Homework Challenge - Build a Happiness Detector/2. Homework Challenge - Solution (Video).mp4 50MB
  5. 6. Module 2 - Object Detection with SSD/10. Object Detection - Step 10.mp4 49MB
  6. 6. Module 2 - Object Detection with SSD/9. Object Detection - Step 9.mp4 47MB
  7. 9. Module 3 - Image Creation with GANs/9. GANs - Step 9.mp4 45MB
  8. 2. Module 1 - Face Detection Intuition/2. Updates on Udemy Reviews.mp4 44MB
  9. 11. Annex 2 Convolutional Neural Networks/7. Step 4 - Full Connection.mp4 43MB
  10. 11. Annex 2 Convolutional Neural Networks/5. Step 2 - Pooling.mp4 40MB
  11. 9. Module 3 - Image Creation with GANs/5. GANs - Step 5.mp4 39MB
  12. 9. Module 3 - Image Creation with GANs/2. GANs - Step 2.mp4 39MB
  13. 9. Module 3 - Image Creation with GANs/12. GANs - Step 12.mp4 38MB
  14. 6. Module 2 - Object Detection with SSD/1. Object Detection - Step 1.mp4 36MB
  15. 3. Module 1 - Face Detection with OpenCV/2. Installations Instructions (once and for all!).mp4 34MB
  16. 6. Module 2 - Object Detection with SSD/6. Object Detection - Step 6.mp4 34MB
  17. 11. Annex 2 Convolutional Neural Networks/9. Softmax & Cross-Entropy.mp4 33MB
  18. 9. Module 3 - Image Creation with GANs/1. GANs - Step 1.mp4 31MB
  19. 10. Annex 1 Artificial Neural Networks/1. What is Deep Learning.mp4 31MB
  20. 11. Annex 2 Convolutional Neural Networks/3. Step 1 - Convolution Operation.mp4 31MB
  21. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/6. Applications of GANs.mp4 31MB
  22. 2. Module 1 - Face Detection Intuition/4. Haar-like Features.mp4 31MB
  23. 10. Annex 1 Artificial Neural Networks/3. The Neuron.mp4 30MB
  24. 11. Annex 2 Convolutional Neural Networks/2. What are convolutional neural networks.mp4 30MB
  25. 2. Module 1 - Face Detection Intuition/7. Adaptive Boosting (Adaboost).mp4 29MB
  26. 5. Module 2 - Object Detection Intuition/3. The Multi-Box Concept.mp4 27MB
  27. 5. Module 2 - Object Detection Intuition/5. The Scale Problem.mp4 27MB
  28. 10. Annex 1 Artificial Neural Networks/6. How do Neural Networks learn.mp4 27MB
  29. 5. Module 2 - Object Detection Intuition/4. Predicting Object Positions.mp4 25MB
  30. 7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/1.1 epic_horses.mp4.mp4 25MB
  31. 3. Module 1 - Face Detection with OpenCV/9. Face Detection - Step 6.mp4 24MB
  32. 5. Module 2 - Object Detection Intuition/2. How SSD is different.mp4 24MB
  33. 10. Annex 1 Artificial Neural Networks/5. How do Neural Networks work.mp4 24MB
  34. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/3. How Do GANs Work (Step 1).mp4 23MB
  35. 1. Introduction/1. Welcome to the Course!.mp4 22MB
  36. 2. Module 1 - Face Detection Intuition/6. Training Classifiers.mp4 21MB
  37. 2. Module 1 - Face Detection Intuition/5. Integral Image.mp4 20MB
  38. 2. Module 1 - Face Detection Intuition/3. Viola-Jones Algorithm.mp4 19MB
  39. 10. Annex 1 Artificial Neural Networks/7. Gradient Descent.mp4 19MB
  40. 9. Module 3 - Image Creation with GANs/8. GANs - Step 8.mp4 18MB
  41. 10. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent.mp4 17MB
  42. 6. Module 2 - Object Detection with SSD/4. Object Detection - Step 4.mp4 16MB
  43. 3. Module 1 - Face Detection with OpenCV/1. Welcome to the Practical Applications.mp4 16MB
  44. 10. Annex 1 Artificial Neural Networks/4. The Activation Function.mp4 15MB
  45. 11. Annex 2 Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.mp4 14MB
  46. 6. Module 2 - Object Detection with SSD/3. Object Detection - Step 3.mp4 13MB
  47. 9. Module 3 - Image Creation with GANs/11. GANs - Step 11.mp4 13MB
  48. 2. Module 1 - Face Detection Intuition/8. Cascading.mp4 12MB
  49. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/2. The Idea Behind GANs.mp4 12MB
  50. 3. Module 1 - Face Detection with OpenCV/4. Face Detection - Step 1.mp4 12MB
  51. 6. Module 2 - Object Detection with SSD/7. Object Detection - Step 7.mp4 12MB
  52. 9. Module 3 - Image Creation with GANs/6. GANs - Step 6.mp4 11MB
  53. 10. Annex 1 Artificial Neural Networks/9. Backpropagation.mp4 11MB
  54. 9. Module 3 - Image Creation with GANs/3. GANs - Step 3.mp4 10MB
  55. 6. Module 2 - Object Detection with SSD/5. Object Detection - Step 5.mp4 10MB
  56. 3. Module 1 - Face Detection with OpenCV/7. Face Detection - Step 4.mp4 10MB
  57. 3. Module 1 - Face Detection with OpenCV/5. Face Detection - Step 2.mp4 10MB
  58. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/4. How Do GANs Work (Step 2).mp4 9MB
  59. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/5. How Do GANs Work (Step 3).mp4 9MB
  60. 3. Module 1 - Face Detection with OpenCV/8. Face Detection - Step 5.mp4 9MB
  61. 6. Module 2 - Object Detection with SSD/2. Object Detection - Step 2.mp4 9MB
  62. 9. Module 3 - Image Creation with GANs/4. GANs - Step 4.mp4 8MB
  63. 11. Annex 2 Convolutional Neural Networks/8. Summary.mp4 8MB
  64. 6. Module 2 - Object Detection with SSD/8. Object Detection - Step 8.mp4 8MB
  65. 3. Module 1 - Face Detection with OpenCV/6. Face Detection - Step 3.mp4 7MB
  66. 11. Annex 2 Convolutional Neural Networks/1. Plan of Attack.mp4 6MB
  67. 9. Module 3 - Image Creation with GANs/14. Special Thanks to Alexis Jacq.mp4 5MB
  68. 9. Module 3 - Image Creation with GANs/7. GANs - Step 7.mp4 5MB
  69. 9. Module 3 - Image Creation with GANs/10. GANs - Step 10.mp4 5MB
  70. 10. Annex 1 Artificial Neural Networks/2. Plan of Attack.mp4 5MB
  71. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/1. Plan of Attack.mp4 5MB
  72. 5. Module 2 - Object Detection Intuition/1. Plan of attack.mp4 4MB
  73. 11. Annex 2 Convolutional Neural Networks/6. Step 3 - Flattening.mp4 3MB
  74. 2. Module 1 - Face Detection Intuition/1. Plan of attack.mp4 2MB
  75. 4. Homework Challenge - Build a Happiness Detector/3.1 Homework.zip.zip 217KB
  76. 3. Module 1 - Face Detection with OpenCV/3.1 Debug Solutions.pdf.pdf 128KB
  77. 11. Annex 2 Convolutional Neural Networks/7. Step 4 - Full Connection.vtt 25KB
  78. 9. Module 3 - Image Creation with GANs/9. GANs - Step 9.vtt 25KB
  79. 4. Homework Challenge - Build a Happiness Detector/2. Homework Challenge - Solution (Video).vtt 23KB
  80. 11. Annex 2 Convolutional Neural Networks/9. Softmax & Cross-Entropy.vtt 22KB
  81. 9. Module 3 - Image Creation with GANs/5. GANs - Step 5.vtt 22KB
  82. 10. Annex 1 Artificial Neural Networks/3. The Neuron.vtt 22KB
  83. 9. Module 3 - Image Creation with GANs/2. GANs - Step 2.vtt 22KB
  84. 6. Module 2 - Object Detection with SSD/10. Object Detection - Step 10.vtt 21KB
  85. 6. Module 2 - Object Detection with SSD/6. Object Detection - Step 6.vtt 21KB
  86. 11. Annex 2 Convolutional Neural Networks/3. Step 1 - Convolution Operation.vtt 20KB
  87. 11. Annex 2 Convolutional Neural Networks/2. What are convolutional neural networks.vtt 19KB
  88. 7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/2. Homework Challenge - Solution (Video).vtt 19KB
  89. 3. Module 1 - Face Detection with OpenCV/2. Installations Instructions (once and for all!).vtt 19KB
  90. 2. Module 1 - Face Detection Intuition/7. Adaptive Boosting (Adaboost).vtt 19KB
  91. 11. Annex 2 Convolutional Neural Networks/5. Step 2 - Pooling.vtt 18KB
  92. 2. Module 1 - Face Detection Intuition/4. Haar-like Features.vtt 18KB
  93. 10. Annex 1 Artificial Neural Networks/5. How do Neural Networks work.vtt 17KB
  94. 10. Annex 1 Artificial Neural Networks/6. How do Neural Networks learn.vtt 17KB
  95. 9. Module 3 - Image Creation with GANs/12. GANs - Step 12.vtt 16KB
  96. 6. Module 2 - Object Detection with SSD/9. Object Detection - Step 9.vtt 16KB
  97. 10. Annex 1 Artificial Neural Networks/1. What is Deep Learning.vtt 16KB
  98. 5. Module 2 - Object Detection Intuition/5. The Scale Problem.vtt 15KB
  99. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/3. How Do GANs Work (Step 1).vtt 15KB
  100. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/6. Applications of GANs.vtt 15KB
  101. 2. Module 1 - Face Detection Intuition/6. Training Classifiers.vtt 14KB
  102. 2. Module 1 - Face Detection Intuition/3. Viola-Jones Algorithm.vtt 13KB
  103. 3. Module 1 - Face Detection with OpenCV/9. Face Detection - Step 6.vtt 13KB
  104. 2. Module 1 - Face Detection Intuition/5. Integral Image.vtt 13KB
  105. 5. Module 2 - Object Detection Intuition/3. The Multi-Box Concept.vtt 13KB
  106. 5. Module 2 - Object Detection Intuition/4. Predicting Object Positions.vtt 12KB
  107. 10. Annex 1 Artificial Neural Networks/7. Gradient Descent.vtt 12KB
  108. 6. Module 2 - Object Detection with SSD/1. Object Detection - Step 1.vtt 12KB
  109. 9. Module 3 - Image Creation with GANs/1. GANs - Step 1.vtt 12KB
  110. 5. Module 2 - Object Detection Intuition/2. How SSD is different.vtt 11KB
  111. 9. Module 3 - Image Creation with GANs/8. GANs - Step 8.vtt 11KB
  112. 10. Annex 1 Artificial Neural Networks/8. Stochastic Gradient Descent.vtt 11KB
  113. 10. Annex 1 Artificial Neural Networks/4. The Activation Function.vtt 11KB
  114. 6. Module 2 - Object Detection with SSD/4. Object Detection - Step 4.vtt 10KB
  115. 6. Module 2 - Object Detection with SSD/3. Object Detection - Step 3.vtt 9KB
  116. 3. Module 1 - Face Detection with OpenCV/4. Face Detection - Step 1.vtt 9KB
  117. 2. Module 1 - Face Detection Intuition/8. Cascading.vtt 8KB
  118. 11. Annex 2 Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.vtt 8KB
  119. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/2. The Idea Behind GANs.vtt 8KB
  120. 9. Module 3 - Image Creation with GANs/11. GANs - Step 11.vtt 8KB
  121. 3. Module 1 - Face Detection with OpenCV/1. Welcome to the Practical Applications.vtt 7KB
  122. 3. Module 1 - Face Detection with OpenCV/5. Face Detection - Step 2.vtt 7KB
  123. 6. Module 2 - Object Detection with SSD/7. Object Detection - Step 7.vtt 7KB
  124. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/4. How Do GANs Work (Step 2).vtt 7KB
  125. 9. Module 3 - Image Creation with GANs/6. GANs - Step 6.vtt 7KB
  126. 6. Module 2 - Object Detection with SSD/5. Object Detection - Step 5.vtt 6KB
  127. 6. Module 2 - Object Detection with SSD/2. Object Detection - Step 2.vtt 6KB
  128. 10. Annex 1 Artificial Neural Networks/9. Backpropagation.vtt 6KB
  129. 3. Module 1 - Face Detection with OpenCV/7. Face Detection - Step 4.vtt 6KB
  130. 3. Module 1 - Face Detection with OpenCV/8. Face Detection - Step 5.vtt 6KB
  131. 9. Module 3 - Image Creation with GANs/3. GANs - Step 3.vtt 6KB
  132. 11. Annex 2 Convolutional Neural Networks/8. Summary.vtt 5KB
  133. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/5. How Do GANs Work (Step 3).vtt 5KB
  134. 9. Module 3 - Image Creation with GANs/4. GANs - Step 4.vtt 5KB
  135. 6. Module 2 - Object Detection with SSD/8. Object Detection - Step 8.vtt 5KB
  136. 11. Annex 2 Convolutional Neural Networks/1. Plan of Attack.vtt 5KB
  137. 3. Module 1 - Face Detection with OpenCV/6. Face Detection - Step 3.vtt 4KB
  138. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/1. Plan of Attack.vtt 4KB
  139. 10. Annex 1 Artificial Neural Networks/2. Plan of Attack.vtt 4KB
  140. 9. Module 3 - Image Creation with GANs/7. GANs - Step 7.vtt 3KB
  141. 9. Module 3 - Image Creation with GANs/14. Special Thanks to Alexis Jacq.vtt 3KB
  142. 2. Module 1 - Face Detection Intuition/2. Updates on Udemy Reviews.vtt 3KB
  143. 9. Module 3 - Image Creation with GANs/10. GANs - Step 10.vtt 3KB
  144. 5. Module 2 - Object Detection Intuition/1. Plan of attack.vtt 2KB
  145. 11. Annex 2 Convolutional Neural Networks/6. Step 3 - Flattening.vtt 2KB
  146. 2. Module 1 - Face Detection Intuition/1. Plan of attack.vtt 2KB
  147. 1. Introduction/1. Welcome to the Course!.vtt 2KB
  148. 4. Homework Challenge - Build a Happiness Detector/1. Homework Challenge - Instructions.html 1KB
  149. 1. Introduction/2. Some Additional Resources!!.html 656B
  150. 6. Module 2 - Object Detection with SSD/11. Training the SSD.html 571B
  151. 7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/1. Homework Challenge - Instructions.html 439B
  152. 3. Module 1 - Face Detection with OpenCV/3. Common Debug Tips.html 308B
  153. 4. Homework Challenge - Build a Happiness Detector/3. Homework Challenge - Solution (Code files).html 127B
  154. 7. Homework Challenge - Detect Epic Horses galloping in Monument Valley/3. Homework Challenge - Solution (Code files).html 127B
  155. [FreeCourseLab.com].url 126B
  156. 2. Module 1 - Face Detection Intuition/9. Face Detection Intuition.html 125B
  157. 3. Module 1 - Face Detection with OpenCV/10. Face Detection with OpenCV.html 125B
  158. 5. Module 2 - Object Detection Intuition/6. Object Detection Intuition.html 125B
  159. 6. Module 2 - Object Detection with SSD/12. Object Detection with SSD.html 125B
  160. 8. Module 3 - Generative Adversarial Networks (GANs) Intuition/7. Generative Adversarial Networks (GANs) Intuition.html 125B
  161. 9. Module 3 - Image Creation with GANs/13. Image Creation with GANs.html 125B