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GetFreeCourses.Co-Udemy-Deep Learning for Computer Vision with TensorFlow 2

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文件列表

  1. 1. Installation and Setup/4.1 CV-TF1.X-2.X.zip 498MB
  2. 5. Object Detection/16.1 cudnn-10.0-linux-x64-v7.5.0.56.tgz 413MB
  3. 5. Object Detection/20.3 yolov4.zip 228MB
  4. 5. Object Detection/20. Train your custom dataset with Yolov4 in Google Colab.mp4 181MB
  5. 5. Object Detection/14.4 yolov2_weights.zip 181MB
  6. 5. Object Detection/12.4 yolo.zip 181MB
  7. 5. Object Detection/9. Train Blood Cells Dataset in TensorFlow Object Detection part2.mp4 176MB
  8. 5. Object Detection/7. TensorFlow2 Object Detection API on images and videos.mp4 169MB
  9. 4. Creating an Image Datasets/3. Open Images Dataset V6 and Voxel FiftyOne.mp4 167MB
  10. 5. Object Detection/10. The YOLO (You only look once) Model.mp4 161MB
  11. 4. Creating an Image Datasets/2. Scraping images with Selenium.mp4 160MB
  12. 5. Object Detection/6. SSD (Single Shot Detector).mp4 160MB
  13. 5. Object Detection/12. Running YOLO v2 on images.mp4 160MB
  14. 3. Convolutional Neural Networks/15.1 covid19.zip 157MB
  15. 5. Object Detection/20.2 yolov4.conv.137.zip 151MB
  16. 5. Object Detection/16.2 darknet53.conv.74.zip 144MB
  17. 5. Object Detection/13. YOLOv2 on video and webcam.mp4 143MB
  18. 5. Object Detection/16. Train your own dataset in Yolov3-Colab-Part 1.mp4 139MB
  19. 4. Creating an Image Datasets/4. Roboflow.mp4 137MB
  20. 3. Convolutional Neural Networks/20. Inception Module with TensorFlow.mp4 135MB
  21. 3. Convolutional Neural Networks/17. ResNet Model.mp4 133MB
  22. 5. Object Detection/11. YOLOv2 the first upgrade of the model.mp4 127MB
  23. 3. Convolutional Neural Networks/18. ResNet50 in Keras.mp4 127MB
  24. 5. Object Detection/17. Train your own dataset in Yolov3-Colab-Part 2.mp4 121MB
  25. 5. Object Detection/15. Detecting custom objects with Yolov2 in Jupyter.mp4 118MB
  26. 3. Convolutional Neural Networks/3. Convolutional Operation.mp4 117MB
  27. 1. Installation and Setup/3. Install TensorFlow-GPU in local machine.mp4 116MB
  28. 5. Object Detection/14. Detecting custom objects with Yolo v2.mp4 108MB
  29. 2. Deep Learning Overview/3. Beyond Gradient Descent.mp4 105MB
  30. 3. Convolutional Neural Networks/15. Detect COVID19 on X-Ray images.mp4 104MB
  31. 2. Deep Learning Overview/8. Multilayer Perceptron with Keras.mp4 102MB
  32. 5. Object Detection/8. Train Blood Cells Dataset in TensorFlow Object Detection part1.mp4 102MB
  33. 3. Convolutional Neural Networks/13. Create a ConvNet - CIFAR10 - Tensorflow 2.mp4 100MB
  34. 2. Deep Learning Overview/1. Deep Learning Overview.mp4 97MB
  35. 3. Convolutional Neural Networks/8. Batch Normalization.mp4 96MB
  36. 3. Convolutional Neural Networks/14. Data Augmentation with TF2.X - Keras.mp4 95MB
  37. 5. Object Detection/19. Yolov4 under the hood - Part 2.mp4 92MB
  38. 3. Convolutional Neural Networks/1. Image Fundamentals.mp4 90MB
  39. 2. Deep Learning Overview/7. Evaluating Activation Functions with Keras.mp4 89MB
  40. 3. Convolutional Neural Networks/19. Inception Network.mp4 88MB
  41. 2. Deep Learning Overview/6. Activation Functions.mp4 87MB
  42. 3. Convolutional Neural Networks/5. Conv2D Layer in Tensorflow 2-Keras.mp4 87MB
  43. 5. Object Detection/3. Metrics in Object Detection Models.mp4 85MB
  44. 4. Creating an Image Datasets/5. Labeling data with LabelImg.mp4 81MB
  45. 3. Convolutional Neural Networks/12. Create a ConvNet - CIFAR10 - Tensorflow 2 - Part 1.mp4 80MB
  46. 5. Object Detection/5. Faster R-CNN.mp4 75MB
  47. 3. Convolutional Neural Networks/11. Load data from image directory in TensorFlow 2.mp4 74MB
  48. 3. Convolutional Neural Networks/2. Convolutional Neural Network model.mp4 74MB
  49. 5. Object Detection/18. Yolov4 under the hood - Part 1.mp4 74MB
  50. 2. Deep Learning Overview/5. Regularization.mp4 71MB
  51. 3. Convolutional Neural Networks/16. Pretrained Models - VGG16.mp4 64MB
  52. 5. Object Detection/2. The beginnings Selective Search Algorithm.mp4 63MB
  53. 5. Object Detection/4. Fast R-CNN.mp4 59MB
  54. 2. Deep Learning Overview/4. Loss Functions.mp4 54MB
  55. 3. Convolutional Neural Networks/7. ReLU function.mp4 50MB
  56. 3. Convolutional Neural Networks/10. Fully Connected Layer.mp4 45MB
  57. 2. Deep Learning Overview/2. Gradient Descent.mp4 44MB
  58. 5. Object Detection/14.1 rd2d2.zip 41MB
  59. 1. Installation and Setup/1. Introduction to the course.mp4 40MB
  60. 3. Convolutional Neural Networks/4. Convolution Operation examples.mp4 40MB
  61. 3. Convolutional Neural Networks/9. DropOut.mp4 39MB
  62. 3. Convolutional Neural Networks/6. Max Pooling.mp4 35MB
  63. 1. Installation and Setup/2. Google Colaboratory.mp4 33MB
  64. 5. Object Detection/21. Final Class and Beyond.mp4 27MB
  65. 5. Object Detection/1. Introduction.mp4 23MB
  66. 4. Creating an Image Datasets/1. Introduction.mp4 6MB
  67. 5. Object Detection/2.1 selectiveSearch.pdf 6MB
  68. 5. Object Detection/10.2 YOLOv1.pdf 5MB
  69. 5. Object Detection/10.3 YOLOv2.pdf 5MB
  70. 5. Object Detection/11.1 YOLOv2.pdf 5MB
  71. 5. Object Detection/18.1 Yolov4-Optimal Speed and Accuracy of Object Detection.pdf 4MB
  72. 4. Creating an Image Datasets/3.1 FiftyOne_OpenImagesV6.zip 3MB
  73. 5. Object Detection/16.4 YOLOv3.pdf 2MB
  74. 5. Object Detection/6.1 ssd.pdf 2MB
  75. 3. Convolutional Neural Networks/17.3 ResNeXt.pdf 1MB
  76. 3. Convolutional Neural Networks/19.1 Going deeper with convolutions-Inception.pdf 1MB
  77. 3. Convolutional Neural Networks/17.2 DenseNet.pdf 1MB
  78. 5. Object Detection/20.1 yolov4_custom_dataset.zip 810KB
  79. 3. Convolutional Neural Networks/17.1 Deep_Residual_Networks(ResNet).pdf 800KB
  80. 5. Object Detection/16.3 yolov3_custom_dataset.zip 778KB
  81. 5. Object Detection/5.1 Faster-r-cnn.pdf 744KB
  82. 5. Object Detection/15.1 Yolov2-training your own dataset in Jupyter.zip 726KB
  83. 5. Object Detection/4.1 Fast-R-CNN.pdf 714KB
  84. 2. Deep Learning Overview/3.1 gradient descent optimization algorithms.pdf 644KB
  85. 3. Convolutional Neural Networks/20.1 Cifar10-Inception-TF1.X.ipynb.zip 33KB
  86. 5. Object Detection/10. The YOLO (You only look once) Model.srt 23KB
  87. 5. Object Detection/20. Train your custom dataset with Yolov4 in Google Colab.srt 23KB
  88. 4. Creating an Image Datasets/2. Scraping images with Selenium.srt 23KB
  89. 3. Convolutional Neural Networks/17. ResNet Model.srt 23KB
  90. 5. Object Detection/7. TensorFlow2 Object Detection API on images and videos.srt 23KB
  91. 3. Convolutional Neural Networks/20. Inception Module with TensorFlow.srt 22KB
  92. 5. Object Detection/6. SSD (Single Shot Detector).srt 22KB
  93. 5. Object Detection/15. Detecting custom objects with Yolov2 in Jupyter.srt 21KB
  94. 5. Object Detection/16. Train your own dataset in Yolov3-Colab-Part 1.srt 21KB
  95. 5. Object Detection/9. Train Blood Cells Dataset in TensorFlow Object Detection part2.srt 20KB
  96. 3. Convolutional Neural Networks/18. ResNet50 in Keras.srt 20KB
  97. 3. Convolutional Neural Networks/15. Detect COVID19 on X-Ray images.srt 19KB
  98. 5. Object Detection/11. YOLOv2 the first upgrade of the model.srt 19KB
  99. 5. Object Detection/12. Running YOLO v2 on images.srt 18KB
  100. 3. Convolutional Neural Networks/14. Data Augmentation with TF2.X - Keras.srt 18KB
  101. 4. Creating an Image Datasets/3. Open Images Dataset V6 and Voxel FiftyOne.srt 18KB
  102. 4. Creating an Image Datasets/4. Roboflow.srt 17KB
  103. 5. Object Detection/19. Yolov4 under the hood - Part 2.srt 17KB
  104. 2. Deep Learning Overview/1. Deep Learning Overview.srt 16KB
  105. 3. Convolutional Neural Networks/11. Load data from image directory in TensorFlow 2.srt 16KB
  106. 3. Convolutional Neural Networks/19. Inception Network.srt 16KB
  107. 5. Object Detection/17. Train your own dataset in Yolov3-Colab-Part 2.srt 15KB
  108. 3. Convolutional Neural Networks/3. Convolutional Operation.srt 15KB
  109. 5. Object Detection/5. Faster R-CNN.srt 14KB
  110. 1. Installation and Setup/3. Install TensorFlow-GPU in local machine.srt 14KB
  111. 5. Object Detection/13. YOLOv2 on video and webcam.srt 14KB
  112. 5. Object Detection/3. Metrics in Object Detection Models.srt 14KB
  113. 2. Deep Learning Overview/8. Multilayer Perceptron with Keras.srt 14KB
  114. 2. Deep Learning Overview/7. Evaluating Activation Functions with Keras.srt 14KB
  115. 5. Object Detection/14. Detecting custom objects with Yolo v2.srt 14KB
  116. 2. Deep Learning Overview/6. Activation Functions.srt 13KB
  117. 5. Object Detection/8. Train Blood Cells Dataset in TensorFlow Object Detection part1.srt 13KB
  118. 2. Deep Learning Overview/3. Beyond Gradient Descent.srt 12KB
  119. 5. Object Detection/18. Yolov4 under the hood - Part 1.srt 12KB
  120. 4. Creating an Image Datasets/5. Labeling data with LabelImg.srt 10KB
  121. 3. Convolutional Neural Networks/1. Image Fundamentals.srt 10KB
  122. 3. Convolutional Neural Networks/2. Convolutional Neural Network model.srt 10KB
  123. 3. Convolutional Neural Networks/16. Pretrained Models - VGG16.srt 9KB
  124. 2. Deep Learning Overview/4. Loss Functions.srt 9KB
  125. 2. Deep Learning Overview/5. Regularization.srt 9KB
  126. 5. Object Detection/2. The beginnings Selective Search Algorithm.srt 8KB
  127. 5. Object Detection/4. Fast R-CNN.srt 8KB
  128. 3. Convolutional Neural Networks/8. Batch Normalization.srt 8KB
  129. 2. Deep Learning Overview/2. Gradient Descent.srt 8KB
  130. 3. Convolutional Neural Networks/6. Max Pooling.srt 8KB
  131. 1. Installation and Setup/2. Google Colaboratory.srt 6KB
  132. 3. Convolutional Neural Networks/10. Fully Connected Layer.srt 6KB
  133. 3. Convolutional Neural Networks/4. Convolution Operation examples.srt 6KB
  134. 3. Convolutional Neural Networks/7. ReLU function.srt 5KB
  135. 3. Convolutional Neural Networks/9. DropOut.srt 4KB
  136. 1. Installation and Setup/1. Introduction to the course.srt 3KB
  137. 4. Creating an Image Datasets/2.1 Image Web Scraping Selenium.zip 3KB
  138. 3. Convolutional Neural Networks/18.1 ResNet50 Keras-Cifar10.zip 2KB
  139. 5. Object Detection/21. Final Class and Beyond.srt 2KB
  140. 5. Object Detection/1. Introduction.srt 2KB
  141. 4. Creating an Image Datasets/1. Introduction.srt 1KB
  142. 5. Object Detection/14.5 yolov2-1c.zip 741B
  143. 5. Object Detection/12.3 yolo_installation.txt 528B
  144. 2. Deep Learning Overview/How you can help GetFreeCourses.Co.txt 182B
  145. 3. Convolutional Neural Networks/How you can help GetFreeCourses.Co.txt 182B
  146. How you can help GetFreeCourses.Co.txt 182B
  147. 1. Installation and Setup/4. Codes and Resources.html 148B
  148. 1. Installation and Setup/4.2 requirements.txt 116B
  149. 2. Deep Learning Overview/GetFreeCourses.Co.url 116B
  150. 3. Convolutional Neural Networks/GetFreeCourses.Co.url 116B
  151. Download Paid Udemy Courses For Free.url 116B
  152. GetFreeCourses.Co.url 116B
  153. 5. Object Detection/10.1 Yolo v1.html 97B
  154. 5. Object Detection/12.2 Yolo v2 web page.html 97B
  155. 5. Object Detection/13.1 Yolo v2 web page.html 97B
  156. 5. Object Detection/14.2 Yolo v2 web page.html 97B
  157. 5. Object Detection/12.1 Yolo repo.html 96B
  158. 5. Object Detection/14.3 Yolo v3 web page.html 95B