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[] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

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  • 文件大小:13GB
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文件列表

  1. 16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 156MB
  2. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 154MB
  3. 2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 151MB
  4. 9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 143MB
  5. 22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 141MB
  6. 4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 140MB
  7. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 139MB
  8. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 132MB
  9. 21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 132MB
  10. 29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 128MB
  11. 21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 122MB
  12. 2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 122MB
  13. 9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 119MB
  14. 3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 117MB
  15. 4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 117MB
  16. 19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 115MB
  17. 3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 115MB
  18. 19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 115MB
  19. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 111MB
  20. 5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 110MB
  21. 24. Generative Adversarial Networks (GANs)/4. Use Cases for GANs.mp4 108MB
  22. 15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4 108MB
  23. 16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.mp4 107MB
  24. 20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4 107MB
  25. 21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.mp4 103MB
  26. 12. Building CNNs in PyTorch/5. Building our Model.mp4 102MB
  27. 24. Generative Adversarial Networks (GANs)/7. Super Resolution GAN.mp4 102MB
  28. 24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.mp4 101MB
  29. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.mp4 98MB
  30. 48. Image Captioning with Keras/1. Image Captioning with Keras.mp4 96MB
  31. 12. Building CNNs in PyTorch/7. Training Your Model.mp4 96MB
  32. 15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4 96MB
  33. 21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.mp4 96MB
  34. 7. OpenCV - Motion and Object Tracking/2. Object Tracking with Optical Flow.mp4 95MB
  35. 3. OpenCV - Image Operations/1. Getting Started with OpenCV4.mp4 95MB
  36. 52. Point Cloud Segmentation Using PointNet/1. Point Cloud Segmentation Using PointNet.mp4 92MB
  37. 55. Low Light Image Enhancement MIRNet/1. Low Light Image Enhancement MIRNet.mp4 92MB
  38. 9. OpenCV Projects/10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4 89MB
  39. 5. OpenCV - Haar Cascade Classifiers/2. Vehicle and Pedestrian Detection.mp4 86MB
  40. 31. Sign Language Detector TFODAPI EfficentDet/1. Sign Language Detector TFODAPI EfficentDet.mp4 85MB
  41. 9. OpenCV Projects/12. Facial Recognition.mp4 84MB
  42. 1. Introduction/1. Course Introduction.mp4 83MB
  43. 15. Improving Models and Advanced CNN Design/9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4 83MB
  44. 30. Mask Detector TFODAPI MobileNetV2_SSD/1. Mask Detector TFODAPI MobileNetV2_SSD.mp4 81MB
  45. 9. OpenCV Projects/8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp4 81MB
  46. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3. Face Recognition Keras One Shot Learning and Friends.mp4 81MB
  47. 23. Autoencoders/2. Autoencoders in Keras.mp4 81MB
  48. 16. Visualizing What CNN's Learn/8. Grad-CAM Plus.mp4 80MB
  49. 3. OpenCV - Image Operations/10. Dilation, Erosion and Edge Detection.mp4 80MB
  50. 6. OpenCV - Image Analysis and Transformation/2. Histograms and K-Means Clustering for Dominant Colors.mp4 80MB
  51. 9. OpenCV Projects/5. YOLOv3 in OpenCV.mp4 80MB
  52. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.mp4 78MB
  53. 46. Depth Estimation/1. Depth Estimation Project.mp4 77MB
  54. 44. Vision Transformers - ViTs/2. Vision Transformer in Detail with PyTorch.mp4 76MB
  55. 13. Building CNNs in TensorFlow with Keras/7. Saving and Loading and Visualising Results.mp4 76MB
  56. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.mp4 73MB
  57. 25. Siamese Network/3. Siamese Networks in Keras.mp4 73MB
  58. 22. Google DeepStream and Neural Style Transfer/2. Google DeepDream in Keras.mp4 73MB
  59. 20. PyTorch Lightning/4. PyTorch Lightning Calls, Saving, Inference.mp4 72MB
  60. 39. Plant Doctor Detector YOLOv5/1. Plant Doctor Detector YOLOv5.mp4 71MB
  61. 7. OpenCV - Motion and Object Tracking/1. Motion Tracking with Mean Shift and CAMSHIFT.mp4 71MB
  62. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.mp4 71MB
  63. 12. Building CNNs in PyTorch/3. Inspect and Visualise Data.mp4 71MB
  64. 9. OpenCV Projects/4. Barcode, QR Generation and Reading.mp4 69MB
  65. 4. OpenCV - Image Segmentation/4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4 69MB
  66. 3. OpenCV - Image Operations/3. Colour Spaces - RGB and HSV.mp4 68MB
  67. 14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.mp4 68MB
  68. 25. Siamese Network/4. Siamese Networks in PyTorch.mp4 68MB
  69. 14. Assessing Model Performance/3. Confusion Matrix and Classification Report.mp4 68MB
  70. 3. OpenCV - Image Operations/5. Transformations - Translations and Rotations.mp4 67MB
  71. 10. OpenCV - Working With Video/1. Using Your Webcam and Creating a Live Sketch of Yourself.mp4 67MB
  72. 3. OpenCV - Image Operations/7. Arithmetic and Bitwise Operations.mp4 66MB
  73. 6. OpenCV - Image Analysis and Transformation/6. Background and Foreground Subtraction.mp4 66MB
  74. 23. Autoencoders/3. Autoencoders in PyTorch.mp4 66MB
  75. 24. Generative Adversarial Networks (GANs)/6. PyTorch GANs.mp4 65MB
  76. 27. Object Detection/1. Object Detection.mp4 65MB
  77. 33. Mushroom Detector Detectron2/1. Mushroom Detector Detectron2.mp4 65MB
  78. 14. Assessing Model Performance/4. Keras Viewing Misclassifications.mp4 65MB
  79. 10. OpenCV - Working With Video/7. Importing YouTube Videos into OpenCV.mp4 65MB
  80. 13. Building CNNs in TensorFlow with Keras/4. Constructing the CNN.mp4 64MB
  81. 6. OpenCV - Image Analysis and Transformation/1. Perspective Transforms.mp4 64MB
  82. 15. Improving Models and Advanced CNN Design/11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4 64MB
  83. 20. PyTorch Lightning/5. Training on Multiple GPU, Profiling and TPUs.mp4 64MB
  84. 1. Introduction/2. Course Overview.mp4 64MB
  85. 20. PyTorch Lightning/2. Lightning Setup and Class.mp4 62MB
  86. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.mp4 62MB
  87. 53. Medical Project - X-Ray Pneumonia Prediction/1. X-Ray Pneumonia Prediction.mp4 61MB
  88. 54. Medical Project - 3D CT Scan Classification/1. 3D CT Scan Classification.mp4 60MB
  89. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.mp4 60MB
  90. 42. Tracking with DeepSORT/1. DeepSORT Introduction.mp4 60MB
  91. 51. Point Cloud Classification PointNet/1. Point Cloud Classification PointNet.mp4 60MB
  92. 32. Pothole Detector - TinyYOLOv4/1. Pothole Detector - TinyYOLOv4.mp4 59MB
  93. 11. Deep Learning in Computer Vision Introduction/22. Deep Learning Libraries Overview.mp4 59MB
  94. 9. OpenCV Projects/1. Tilt Shift Effects.mp4 59MB
  95. 3. OpenCV - Image Operations/8. Convolutions, Blurring and Sharpening Images.mp4 59MB
  96. 43. Deep Fakes/1. Creating a Deep Fake.mp4 59MB
  97. 45. BiT BigTransfer Classifier Keras/1. BiT BigTransfer Classifier Keras.mp4 59MB
  98. 37. Bloodcell Detector YOLOv5/1. Bloodcell Detector YOLOv5.mp4 59MB
  99. 42. Tracking with DeepSORT/2. DeepSORT with YOLOv5.mp4 58MB
  100. 22. Google DeepStream and Neural Style Transfer/3. Google DeepDream in PyTorch.mp4 58MB
  101. 22. Google DeepStream and Neural Style Transfer/6. Neural Style Transfer in PyTorch.mp4 58MB
  102. 11. Deep Learning in Computer Vision Introduction/21. Deep Learning History.mp4 58MB
  103. 35. Drone Maritime Detector R-CNN/1. Drone Maritime Detector R-CNN.mp4 57MB
  104. 49. Video Classification usign CNN+RNN/1. Video Classification usign CNN+RNN.mp4 57MB
  105. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2. Facial Similarity Keras VGGFace.mp4 57MB
  106. 4. OpenCV - Image Segmentation/3. Line, Circle and Blob Detection.mp4 57MB
  107. 47. Image Similarity using Metric Learning/1. Image Similarity using Metric Learning.mp4 56MB
  108. 21. Transfer Learning and Fine Tuning/2. Transfer Learning in PyTorch Lightning.mp4 56MB
  109. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6. Getting the Rank-N Accuracy in Keras.mp4 56MB
  110. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/6. Train Mask R-CNN Shapes Dataset.mp4 55MB
  111. 56. Deploy your CV App using Flask RestFUL API & Web App/1. Flask RestFUL API.mp4 55MB
  112. 27. Object Detection/2. History of Object Detectors.mp4 53MB
  113. 3. OpenCV - Image Operations/2. Grayscaling Images.mp4 53MB
  114. 3. OpenCV - Image Operations/4. Drawing on Images.mp4 52MB
  115. 9. OpenCV Projects/7. SSDs in OpenCV.mp4 52MB
  116. 14. Assessing Model Performance/6. PyTorch Viewing Misclassifications.mp4 51MB
  117. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4. Face Recognition PyTorch FaceNet.mp4 51MB
  118. 22. Google DeepStream and Neural Style Transfer/4. Introduction to Neural Style Transfer.mp4 50MB
  119. 34. Website Region Detector YOLOv4 Darknet/1. Website Region Detector YOLOv4 Darknet.mp4 50MB
  120. 8. OpenCV - Facial Landmark Detection & Face Swaps/2. Face Swapping with Dlib.mp4 49MB
  121. 24. Generative Adversarial Networks (GANs)/3. Training GANs.mp4 49MB
  122. 12. Building CNNs in PyTorch/8. Saving Model and Displaying Results.mp4 49MB
  123. 50. Video Classification with Transformers/1. Video Classification with Transformers.mp4 49MB
  124. 7. OpenCV - Motion and Object Tracking/3. Simple Object Tracking by Color.mp4 49MB
  125. 44. Vision Transformers - ViTs/3. Vision Transformers in Keras.mp4 48MB
  126. 12. Building CNNs in PyTorch/1. Importing Required Libraries.mp4 48MB
  127. 57. OCR Captcha Cracker/1. OCR Captcha Cracker.mp4 46MB
  128. 10. OpenCV - Working With Video/6. Capturing Video using Screenshots.mp4 46MB
  129. 41. Body Pose Estimation/1. Body Pose Estimation.mp4 46MB
  130. 1. Introduction/3. What Makes Computer Vision Hard.mp4 46MB
  131. 27. Object Detection/4. Mean Average Precision.mp4 46MB
  132. 9. OpenCV Projects/2. GrabCut Algorithm for Background Removal.mp4 46MB
  133. 13. Building CNNs in TensorFlow with Keras/5. Training the Model.mp4 45MB
  134. 1. Introduction/4. What are Images.mp4 44MB
  135. 15. Improving Models and Advanced CNN Design/1. What is Overfitting and Generalisation.mp4 44MB
  136. 17. Advamced Convolutional Neural Networks/7. MobileNetV1 and V2.mp4 44MB
  137. 24. Generative Adversarial Networks (GANs)/1. Introduction to GANs.mp4 44MB
  138. 14. Assessing Model Performance/5. Keras - Confusion Matrix and Classification Report.mp4 43MB
  139. 6. OpenCV - Image Analysis and Transformation/5. Watershed Algorithm Marker-Dased Image Segmentation.mp4 43MB
  140. 36. Chess Piece YOLOv3/1. Chess Piece YOLOv3.mp4 43MB
  141. 6. OpenCV - Image Analysis and Transformation/3. Comparing Images MSE and Structual Similarity.mp4 42MB
  142. 10. OpenCV - Working With Video/4. Video Streams and CCTV - RTSP and IP.mp4 42MB
  143. 27. Object Detection/6. R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4 41MB
  144. 11. Deep Learning in Computer Vision Introduction/19. Optimisers and Learning Rate Schedules.mp4 41MB
  145. 6. OpenCV - Image Analysis and Transformation/4. Filtering on Colour.mp4 41MB
  146. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/6. Detectron2.mp4 41MB
  147. 22. Google DeepStream and Neural Style Transfer/1. Introduction to Google DeepDream Visualizations.mp4 40MB
  148. 9. OpenCV Projects/11. Detect Blur in Images.mp4 40MB
  149. 20. PyTorch Lightning/1. Introduction to PyTorch Lightning.mp4 38MB
  150. 8. OpenCV - Facial Landmark Detection & Face Swaps/1. Facial Landmark Detection with Dlib.mp4 38MB
  151. 56. Deploy your CV App using Flask RestFUL API & Web App/2. Flask Web App.mp4 37MB
  152. 4. OpenCV - Image Segmentation/5. Finding Corners.mp4 37MB
  153. 13. Building CNNs in TensorFlow with Keras/6. Plotting the Training Results.mp4 36MB
  154. 11. Deep Learning in Computer Vision Introduction/20. Deep Learning CNN Recap.mp4 36MB
  155. 10. OpenCV - Working With Video/5. Auto Reconnect to Video Streams.mp4 36MB
  156. 10. OpenCV - Working With Video/3. Saving or Recording Videos in OpenCV.mp4 36MB
  157. 16. Visualizing What CNN's Learn/2. Visualising Filter Activations.mp4 36MB
  158. 24. Generative Adversarial Networks (GANs)/8. AnimeGAN.mp4 35MB
  159. 10. OpenCV - Working With Video/2. Opening Video Files in OpenCV.mp4 34MB
  160. 11. Deep Learning in Computer Vision Introduction/2. Convolutions.mp4 34MB
  161. 13. Building CNNs in TensorFlow with Keras/3. Preprocessing Our Data.mp4 34MB
  162. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/1. Introduction to YOLO.mp4 33MB
  163. 11. Deep Learning in Computer Vision Introduction/18. Gradient Descent.mp4 33MB
  164. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1. Face Recognition Overview.mp4 32MB
  165. 17. Advamced Convolutional Neural Networks/11. DenseNet.mp4 32MB
  166. 15. Improving Models and Advanced CNN Design/5. Data Augmentation.mp4 32MB
  167. 21. Transfer Learning and Fine Tuning/1. Transfer Learning Introduction.mp4 32MB
  168. 24. Generative Adversarial Networks (GANs)/9. ArcaneGAN.mp4 32MB
  169. 27. Object Detection/7. Single Shot Detectors (SSDs).mp4 31MB
  170. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/5. EfficientDet.mp4 31MB
  171. 38. Hard Hat Detector EfficentDet/1. Hard Hat Detector EfficentDet.mp4 31MB
  172. 16. Visualizing What CNN's Learn/5. Class Maximization.mp4 30MB
  173. 12. Building CNNs in PyTorch/4. Data Loaders.mp4 30MB
  174. 12. Building CNNs in PyTorch/2. Transformation Pipeline.mp4 30MB
  175. 17. Advamced Convolutional Neural Networks/12. The ImageNet Dataset.mp4 30MB
  176. 13. Building CNNs in TensorFlow with Keras/2. View and Inspect Data.mp4 30MB
  177. 11. Deep Learning in Computer Vision Introduction/12. Putting Together Your Convolutional Neural Network.mp4 29MB
  178. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/2. How YOLO Works.mp4 29MB
  179. 14. Assessing Model Performance/7. PyTorch - Confusion Matrix and Misclassifications.mp4 29MB
  180. 11. Deep Learning in Computer Vision Introduction/17. Backpropagation.mp4 29MB
  181. 24. Generative Adversarial Networks (GANs)/1.1 Slides - Generative Adverserial Networks.pdf 29MB
  182. 21. Transfer Learning and Fine Tuning/6. PyTorch Transfer Learning and Freezing Network Layers.mp4 29MB
  183. 25. Siamese Network/1. Introduction to Siamese Networks.mp4 29MB
  184. 9. OpenCV Projects/9. Inpainting to Restore Damaged Photos.mp4 28MB
  185. 11. Deep Learning in Computer Vision Introduction/15. Training a CNN.mp4 27MB
  186. 44. Vision Transformers - ViTs/1. Introduction to Vision Transformers.mp4 27MB
  187. 13. Building CNNs in TensorFlow with Keras/1. Loading Data.mp4 27MB
  188. 24. Generative Adversarial Networks (GANs)/2. How Do GANs Work.mp4 27MB
  189. 12. Building CNNs in PyTorch/9. Plot and Visualize Your Results.mp4 26MB
  190. 23. Autoencoders/1. Introduction to Autoencoders.mp4 25MB
  191. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/3. Training YOLO.mp4 25MB
  192. 17. Advamced Convolutional Neural Networks/10. EfficientNet.mp4 25MB
  193. 11. Deep Learning in Computer Vision Introduction/16. Loss Functions.mp4 25MB
  194. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/4. YOLO Evolution.mp4 24MB
  195. 11. Deep Learning in Computer Vision Introduction/3. Feature Detectors.mp4 24MB
  196. 15. Improving Models and Advanced CNN Design/7. Batch Normalization.mp4 24MB
  197. 11. Deep Learning in Computer Vision Introduction/13. Parameter Counts in CNNs.mp4 24MB
  198. 11. Deep Learning in Computer Vision Introduction/9. Pooling.mp4 23MB
  199. 17. Advamced Convolutional Neural Networks/8. InceptionV3.mp4 23MB
  200. 17. Advamced Convolutional Neural Networks/6. Why ResNets Work So Well.mp4 23MB
  201. 17. Advamced Convolutional Neural Networks/9. SqueezeNet.mp4 23MB
  202. 16. Visualizing What CNN's Learn/4. Maximizing Filters.mp4 23MB
  203. 17. Advamced Convolutional Neural Networks/4. VGG16 and VGG19.mp4 23MB
  204. 14. Assessing Model Performance/2. Assessing Model Performance.mp4 23MB
  205. 2. Download Code and Setup Colab/2. Setup - Download Code and Configure Colab.mp4 23MB
  206. 11. Deep Learning in Computer Vision Introduction/8. Activation Functions.mp4 22MB
  207. 11. Deep Learning in Computer Vision Introduction/14. Why CNNs Work So Well On Images.mp4 21MB
  208. 16. Visualizing What CNN's Learn/1. Visualizing CNN Filters or Feature Maps.mp4 20MB
  209. 27. Object Detection/5. Non Maximum Suppression.mp4 20MB
  210. 17. Advamced Convolutional Neural Networks/2. LeNet.mp4 19MB
  211. 17. Advamced Convolutional Neural Networks/5. ResNets.mp4 18MB
  212. 17. Advamced Convolutional Neural Networks/3. AlexNet.mp4 18MB
  213. 27. Object Detection/3. Intersection Over Union.mp4 17MB
  214. 11. Deep Learning in Computer Vision Introduction/7. Stride.mp4 17MB
  215. 11. Deep Learning in Computer Vision Introduction/4. 3D Convolutions and Color Images.mp4 17MB
  216. 19. Using Callbacks in Keras and PyTorch/1. What are Callbacks.mp4 16MB
  217. 11. Deep Learning in Computer Vision Introduction/1. Introduction to Convolution Neural Networks.mp4 16MB
  218. 15. Improving Models and Advanced CNN Design/4. L1 and L2 Regularization.mp4 16MB
  219. 16. Visualizing What CNN's Learn/7. Grad-CAM Visualize What Influences Your Model.mp4 15MB
  220. 12. Building CNNs in PyTorch/6. Optimisers and Loss Function.mp4 15MB
  221. 11. Deep Learning in Computer Vision Introduction/6. Padding.mp4 14MB
  222. 11. Deep Learning in Computer Vision Introduction/5. Kernel Size and Depth.mp4 14MB
  223. 25. Siamese Network/2. Training Siamese Networks.mp4 13MB
  224. 15. Improving Models and Advanced CNN Design/3. Drop Out.mp4 13MB
  225. 15. Improving Models and Advanced CNN Design/6. Early Stopping.mp4 13MB
  226. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4. The Top-N or Rank-N Accuracy Metric.mp4 12MB
  227. 15. Improving Models and Advanced CNN Design/8. When Do We Use Regularization.mp4 12MB
  228. 11. Deep Learning in Computer Vision Introduction/10. Fully Connected Layers.mp4 11MB
  229. 17. Advamced Convolutional Neural Networks/1. History and Evolution of Convolutional Neural Networks.mp4 9MB
  230. 11. Deep Learning in Computer Vision Introduction/11. Softmax.mp4 9MB
  231. 15. Improving Models and Advanced CNN Design/2. Introduction to Regularization.mp4 8MB
  232. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).srt 29KB
  233. 16. Visualizing What CNN's Learn/6. Filter and Class Maximization.srt 25KB
  234. 4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.srt 25KB
  235. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.srt 23KB
  236. 3. OpenCV - Image Operations/1. Getting Started with OpenCV4.srt 23KB
  237. 19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.srt 23KB
  238. 22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.srt 22KB
  239. 19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.srt 22KB
  240. 16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.srt 22KB
  241. 21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.srt 22KB
  242. 4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.srt 20KB
  243. 14. Assessing Model Performance/3. Confusion Matrix and Classification Report.srt 20KB
  244. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt 20KB
  245. 11. Deep Learning in Computer Vision Introduction/21. Deep Learning History.srt 20KB
  246. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt 20KB
  247. 21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.srt 19KB
  248. 14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.srt 19KB
  249. 3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.srt 19KB
  250. 9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).srt 19KB
  251. 3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.srt 19KB
  252. 12. Building CNNs in PyTorch/5. Building our Model.srt 18KB
  253. 15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.srt 18KB
  254. 12. Building CNNs in PyTorch/7. Training Your Model.srt 18KB
  255. 5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.srt 18KB
  256. 29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.srt 18KB
  257. 15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.srt 17KB
  258. 1. Introduction/1. Course Introduction.srt 17KB
  259. 21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.srt 17KB
  260. 20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.srt 17KB
  261. 9. OpenCV Projects/6. Neural Style Transfer with OpenCV.srt 17KB
  262. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.srt 17KB
  263. 24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.srt 16KB
  264. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.srt 16KB
  265. 1. Introduction/2. Course Overview.srt 16KB
  266. 13. Building CNNs in TensorFlow with Keras/7. Saving and Loading and Visualising Results.srt 16KB
  267. 11. Deep Learning in Computer Vision Introduction/22. Deep Learning Libraries Overview.srt 16KB
  268. 21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.srt 16KB
  269. 6. OpenCV - Image Analysis and Transformation/2. Histograms and K-Means Clustering for Dominant Colors.srt 16KB
  270. 7. OpenCV - Motion and Object Tracking/2. Object Tracking with Optical Flow.srt 15KB
  271. 17. Advamced Convolutional Neural Networks/7. MobileNetV1 and V2.srt 15KB
  272. 5. OpenCV - Haar Cascade Classifiers/2. Vehicle and Pedestrian Detection.srt 15KB
  273. 22. Google DeepStream and Neural Style Transfer/4. Introduction to Neural Style Transfer.srt 15KB
  274. 3. OpenCV - Image Operations/7. Arithmetic and Bitwise Operations.srt 15KB
  275. 9. OpenCV Projects/12. Facial Recognition.srt 14KB
  276. 3. OpenCV - Image Operations/4. Drawing on Images.srt 14KB
  277. 3. OpenCV - Image Operations/10. Dilation, Erosion and Edge Detection.srt 14KB
  278. 11. Deep Learning in Computer Vision Introduction/20. Deep Learning CNN Recap.srt 14KB
  279. 15. Improving Models and Advanced CNN Design/9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.srt 14KB
  280. 48. Image Captioning with Keras/1. Image Captioning with Keras.srt 14KB
  281. 3. OpenCV - Image Operations/5. Transformations - Translations and Rotations.srt 14KB
  282. 9. OpenCV Projects/10. Add and Remove Noise and Fix Contrast with Histogram Equalization.srt 14KB
  283. 23. Autoencoders/2. Autoencoders in Keras.srt 14KB
  284. 24. Generative Adversarial Networks (GANs)/7. Super Resolution GAN.srt 14KB
  285. 24. Generative Adversarial Networks (GANs)/4. Use Cases for GANs.srt 13KB
  286. 52. Point Cloud Segmentation Using PointNet/1. Point Cloud Segmentation Using PointNet.srt 13KB
  287. 9. OpenCV Projects/4. Barcode, QR Generation and Reading.srt 13KB
  288. 27. Object Detection/1. Object Detection.srt 13KB
  289. 16. Visualizing What CNN's Learn/8. Grad-CAM Plus.srt 13KB
  290. 15. Improving Models and Advanced CNN Design/1. What is Overfitting and Generalisation.srt 13KB
  291. 11. Deep Learning in Computer Vision Introduction/2. Convolutions.srt 13KB
  292. 20. PyTorch Lightning/4. PyTorch Lightning Calls, Saving, Inference.srt 13KB
  293. 25. Siamese Network/3. Siamese Networks in Keras.srt 13KB
  294. 6. OpenCV - Image Analysis and Transformation/1. Perspective Transforms.srt 13KB
  295. 21. Transfer Learning and Fine Tuning/1. Transfer Learning Introduction.srt 13KB
  296. 12. Building CNNs in PyTorch/3. Inspect and Visualise Data.srt 13KB
  297. 9. OpenCV Projects/5. YOLOv3 in OpenCV.srt 12KB
  298. 42. Tracking with DeepSORT/1. DeepSORT Introduction.srt 12KB
  299. 3. OpenCV - Image Operations/3. Colour Spaces - RGB and HSV.srt 12KB
  300. 27. Object Detection/2. History of Object Detectors.srt 12KB
  301. 44. Vision Transformers - ViTs/2. Vision Transformer in Detail with PyTorch.srt 12KB
  302. 20. PyTorch Lightning/1. Introduction to PyTorch Lightning.srt 12KB
  303. 27. Object Detection/4. Mean Average Precision.srt 12KB
  304. 16. Visualizing What CNN's Learn/2. Visualising Filter Activations.srt 12KB
  305. 10. OpenCV - Working With Video/1. Using Your Webcam and Creating a Live Sketch of Yourself.srt 12KB
  306. 11. Deep Learning in Computer Vision Introduction/18. Gradient Descent.srt 12KB
  307. 9. OpenCV Projects/8. Colorize Black and White Photos using a Caffe Model in OpenCV.srt 11KB
  308. 14. Assessing Model Performance/4. Keras Viewing Misclassifications.srt 11KB
  309. 24. Generative Adversarial Networks (GANs)/6. PyTorch GANs.srt 11KB
  310. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.srt 11KB
  311. 11. Deep Learning in Computer Vision Introduction/12. Putting Together Your Convolutional Neural Network.srt 11KB
  312. 23. Autoencoders/3. Autoencoders in PyTorch.srt 11KB
  313. 27. Object Detection/6. R-CNNs, Fast R-CNNs and Faster R-CNNs.srt 11KB
  314. 6. OpenCV - Image Analysis and Transformation/6. Background and Foreground Subtraction.srt 11KB
  315. 30. Mask Detector TFODAPI MobileNetV2_SSD/1. Mask Detector TFODAPI MobileNetV2_SSD.srt 11KB
  316. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3. Face Recognition Keras One Shot Learning and Friends.srt 11KB
  317. 24. Generative Adversarial Networks (GANs)/3. Training GANs.srt 11KB
  318. 1. Introduction/4. What are Images.srt 11KB
  319. 46. Depth Estimation/1. Depth Estimation Project.srt 11KB
  320. 55. Low Light Image Enhancement MIRNet/1. Low Light Image Enhancement MIRNet.srt 11KB
  321. 12. Building CNNs in PyTorch/8. Saving Model and Displaying Results.srt 11KB
  322. 7. OpenCV - Motion and Object Tracking/1. Motion Tracking with Mean Shift and CAMSHIFT.srt 11KB
  323. 15. Improving Models and Advanced CNN Design/11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.srt 11KB
  324. 31. Sign Language Detector TFODAPI EfficentDet/1. Sign Language Detector TFODAPI EfficentDet.srt 11KB
  325. 22. Google DeepStream and Neural Style Transfer/2. Google DeepDream in Keras.srt 11KB
  326. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1. Face Recognition Overview.srt 11KB
  327. 23. Autoencoders/1. Introduction to Autoencoders.srt 10KB
  328. 12. Building CNNs in PyTorch/1. Importing Required Libraries.srt 10KB
  329. 17. Advamced Convolutional Neural Networks/11. DenseNet.srt 10KB
  330. 11. Deep Learning in Computer Vision Introduction/19. Optimisers and Learning Rate Schedules.srt 10KB
  331. 56. Deploy your CV App using Flask RestFUL API & Web App/1. Flask RestFUL API.srt 10KB
  332. 20. PyTorch Lightning/5. Training on Multiple GPU, Profiling and TPUs.srt 10KB
  333. 13. Building CNNs in TensorFlow with Keras/4. Constructing the CNN.srt 10KB
  334. 27. Object Detection/7. Single Shot Detectors (SSDs).srt 10KB
  335. 14. Assessing Model Performance/6. PyTorch Viewing Misclassifications.srt 10KB
  336. 11. Deep Learning in Computer Vision Introduction/16. Loss Functions.srt 10KB
  337. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/6. Detectron2.srt 10KB
  338. 25. Siamese Network/4. Siamese Networks in PyTorch.srt 10KB
  339. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6. Getting the Rank-N Accuracy in Keras.srt 10KB
  340. 21. Transfer Learning and Fine Tuning/2. Transfer Learning in PyTorch Lightning.srt 10KB
  341. 10. OpenCV - Working With Video/7. Importing YouTube Videos into OpenCV.srt 10KB
  342. 11. Deep Learning in Computer Vision Introduction/15. Training a CNN.srt 10KB
  343. 20. PyTorch Lightning/2. Lightning Setup and Class.srt 10KB
  344. 3. OpenCV - Image Operations/2. Grayscaling Images.srt 9KB
  345. 1. Introduction/3. What Makes Computer Vision Hard.srt 9KB
  346. 39. Plant Doctor Detector YOLOv5/1. Plant Doctor Detector YOLOv5.srt 9KB
  347. 4. OpenCV - Image Segmentation/4. Counting Circles, Ellipses and Finding Waldo with Template Matching.srt 9KB
  348. 9. OpenCV Projects/2. GrabCut Algorithm for Background Removal.srt 9KB
  349. 45. BiT BigTransfer Classifier Keras/1. BiT BigTransfer Classifier Keras.srt 9KB
  350. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2. Facial Similarity Keras VGGFace.srt 9KB
  351. 3. OpenCV - Image Operations/8. Convolutions, Blurring and Sharpening Images.srt 9KB
  352. 4. OpenCV - Image Segmentation/3. Line, Circle and Blob Detection.srt 9KB
  353. 14. Assessing Model Performance/5. Keras - Confusion Matrix and Classification Report.srt 9KB
  354. 11. Deep Learning in Computer Vision Introduction/9. Pooling.srt 9KB
  355. 17. Advamced Convolutional Neural Networks/8. InceptionV3.srt 9KB
  356. 11. Deep Learning in Computer Vision Introduction/17. Backpropagation.srt 9KB
  357. 25. Siamese Network/1. Introduction to Siamese Networks.srt 9KB
  358. 9. OpenCV Projects/1. Tilt Shift Effects.srt 9KB
  359. 14. Assessing Model Performance/2. Assessing Model Performance.srt 9KB
  360. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/1. Introduction to YOLO.srt 9KB
  361. 16. Visualizing What CNN's Learn/1. Visualizing CNN Filters or Feature Maps.srt 8KB
  362. 6. OpenCV - Image Analysis and Transformation/4. Filtering on Colour.srt 8KB
  363. 6. OpenCV - Image Analysis and Transformation/3. Comparing Images MSE and Structual Similarity.srt 8KB
  364. 51. Point Cloud Classification PointNet/1. Point Cloud Classification PointNet.srt 8KB
  365. 53. Medical Project - X-Ray Pneumonia Prediction/1. X-Ray Pneumonia Prediction.srt 8KB
  366. 6. OpenCV - Image Analysis and Transformation/5. Watershed Algorithm Marker-Dased Image Segmentation.srt 8KB
  367. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/5. EfficientDet.srt 8KB
  368. 8. OpenCV - Facial Landmark Detection & Face Swaps/1. Facial Landmark Detection with Dlib.srt 8KB
  369. 11. Deep Learning in Computer Vision Introduction/13. Parameter Counts in CNNs.srt 8KB
  370. 8. OpenCV - Facial Landmark Detection & Face Swaps/2. Face Swapping with Dlib.srt 8KB
  371. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.srt 8KB
  372. 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4. Face Recognition PyTorch FaceNet.srt 8KB
  373. 17. Advamced Convolutional Neural Networks/10. EfficientNet.srt 8KB
  374. 47. Image Similarity using Metric Learning/1. Image Similarity using Metric Learning.srt 8KB
  375. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/4. YOLO Evolution.srt 8KB
  376. 54. Medical Project - 3D CT Scan Classification/1. 3D CT Scan Classification.srt 8KB
  377. 49. Video Classification usign CNN+RNN/1. Video Classification usign CNN+RNN.srt 8KB
  378. 11. Deep Learning in Computer Vision Introduction/7. Stride.srt 8KB
  379. 11. Deep Learning in Computer Vision Introduction/1. Introduction to Convolution Neural Networks.srt 8KB
  380. 17. Advamced Convolutional Neural Networks/12. The ImageNet Dataset.srt 8KB
  381. 11. Deep Learning in Computer Vision Introduction/8. Activation Functions.srt 8KB
  382. 32. Pothole Detector - TinyYOLOv4/1. Pothole Detector - TinyYOLOv4.srt 8KB
  383. 57. OCR Captcha Cracker/1. OCR Captcha Cracker.srt 8KB
  384. 16. Visualizing What CNN's Learn/5. Class Maximization.srt 8KB
  385. 7. OpenCV - Motion and Object Tracking/3. Simple Object Tracking by Color.srt 8KB
  386. 13. Building CNNs in TensorFlow with Keras/3. Preprocessing Our Data.srt 8KB
  387. 22. Google DeepStream and Neural Style Transfer/6. Neural Style Transfer in PyTorch.srt 8KB
  388. 35. Drone Maritime Detector R-CNN/1. Drone Maritime Detector R-CNN.srt 8KB
  389. 44. Vision Transformers - ViTs/3. Vision Transformers in Keras.srt 8KB
  390. 9. OpenCV Projects/11. Detect Blur in Images.srt 8KB
  391. 43. Deep Fakes/1. Creating a Deep Fake.srt 7KB
  392. 44. Vision Transformers - ViTs/1. Introduction to Vision Transformers.srt 7KB
  393. 12. Building CNNs in PyTorch/9. Plot and Visualize Your Results.srt 7KB
  394. 22. Google DeepStream and Neural Style Transfer/1. Introduction to Google DeepDream Visualizations.srt 7KB
  395. 33. Mushroom Detector Detectron2/1. Mushroom Detector Detectron2.srt 7KB
  396. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.srt 7KB
  397. 24. Generative Adversarial Networks (GANs)/2. How Do GANs Work.srt 7KB
  398. 10. OpenCV - Working With Video/6. Capturing Video using Screenshots.srt 7KB
  399. 17. Advamced Convolutional Neural Networks/5. ResNets.srt 7KB
  400. 17. Advamced Convolutional Neural Networks/4. VGG16 and VGG19.srt 7KB
  401. 36. Chess Piece YOLOv3/1. Chess Piece YOLOv3.srt 7KB
  402. 19. Using Callbacks in Keras and PyTorch/1. What are Callbacks.srt 7KB
  403. 12. Building CNNs in PyTorch/4. Data Loaders.srt 7KB
  404. 17. Advamced Convolutional Neural Networks/9. SqueezeNet.srt 7KB
  405. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/6. Train Mask R-CNN Shapes Dataset.srt 7KB
  406. 34. Website Region Detector YOLOv4 Darknet/1. Website Region Detector YOLOv4 Darknet.srt 7KB
  407. 10. OpenCV - Working With Video/2. Opening Video Files in OpenCV.srt 7KB
  408. 15. Improving Models and Advanced CNN Design/7. Batch Normalization.srt 7KB
  409. 11. Deep Learning in Computer Vision Introduction/4. 3D Convolutions and Color Images.srt 7KB
  410. 37. Bloodcell Detector YOLOv5/1. Bloodcell Detector YOLOv5.srt 7KB
  411. 16. Visualizing What CNN's Learn/4. Maximizing Filters.srt 7KB
  412. 17. Advamced Convolutional Neural Networks/6. Why ResNets Work So Well.srt 7KB
  413. 9. OpenCV Projects/7. SSDs in OpenCV.srt 7KB
  414. 14. Assessing Model Performance/7. PyTorch - Confusion Matrix and Misclassifications.srt 7KB
  415. 15. Improving Models and Advanced CNN Design/5. Data Augmentation.srt 7KB
  416. 24. Generative Adversarial Networks (GANs)/1. Introduction to GANs.srt 7KB
  417. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/3. Training YOLO.srt 7KB
  418. 4. OpenCV - Image Segmentation/5. Finding Corners.srt 7KB
  419. 13. Building CNNs in TensorFlow with Keras/2. View and Inspect Data.srt 6KB
  420. 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.srt 6KB
  421. 50. Video Classification with Transformers/1. Video Classification with Transformers.srt 6KB
  422. 11. Deep Learning in Computer Vision Introduction/3. Feature Detectors.srt 6KB
  423. 10. OpenCV - Working With Video/4. Video Streams and CCTV - RTSP and IP.srt 6KB
  424. 28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/2. How YOLO Works.srt 6KB
  425. 12. Building CNNs in PyTorch/2. Transformation Pipeline.srt 6KB
  426. 11. Deep Learning in Computer Vision Introduction/14. Why CNNs Work So Well On Images.srt 6KB
  427. 22. Google DeepStream and Neural Style Transfer/3. Google DeepDream in PyTorch.srt 6KB
  428. 13. Building CNNs in TensorFlow with Keras/5. Training the Model.srt 6KB
  429. 13. Building CNNs in TensorFlow with Keras/6. Plotting the Training Results.srt 6KB
  430. 56. Deploy your CV App using Flask RestFUL API & Web App/2. Flask Web App.srt 6KB
  431. 11. Deep Learning in Computer Vision Introduction/5. Kernel Size and Depth.srt 6KB
  432. 17. Advamced Convolutional Neural Networks/3. AlexNet.srt 6KB
  433. 9. OpenCV Projects/9. Inpainting to Restore Damaged Photos.srt 6KB
  434. 15. Improving Models and Advanced CNN Design/4. L1 and L2 Regularization.srt 6KB
  435. 42. Tracking with DeepSORT/2. DeepSORT with YOLOv5.srt 6KB
  436. 17. Advamced Convolutional Neural Networks/1. History and Evolution of Convolutional Neural Networks.srt 6KB
  437. 11. Deep Learning in Computer Vision Introduction/6. Padding.srt 6KB
  438. 24. Generative Adversarial Networks (GANs)/8. AnimeGAN.srt 5KB
  439. 38. Hard Hat Detector EfficentDet/1. Hard Hat Detector EfficentDet.srt 5KB
  440. 21. Transfer Learning and Fine Tuning/6. PyTorch Transfer Learning and Freezing Network Layers.srt 5KB
  441. 13. Building CNNs in TensorFlow with Keras/1. Loading Data.srt 5KB
  442. 15. Improving Models and Advanced CNN Design/6. Early Stopping.srt 5KB
  443. 25. Siamese Network/2. Training Siamese Networks.srt 5KB
  444. 15. Improving Models and Advanced CNN Design/3. Drop Out.srt 5KB
  445. 10. OpenCV - Working With Video/3. Saving or Recording Videos in OpenCV.srt 5KB
  446. 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4. The Top-N or Rank-N Accuracy Metric.srt 5KB
  447. 41. Body Pose Estimation/1. Body Pose Estimation.srt 5KB
  448. 17. Advamced Convolutional Neural Networks/2. LeNet.srt 5KB
  449. 16. Visualizing What CNN's Learn/7. Grad-CAM Visualize What Influences Your Model.srt 4KB
  450. 10. OpenCV - Working With Video/5. Auto Reconnect to Video Streams.srt 4KB
  451. 27. Object Detection/5. Non Maximum Suppression.srt 4KB
  452. 27. Object Detection/3. Intersection Over Union.srt 4KB
  453. 2. Download Code and Setup Colab/2. Setup - Download Code and Configure Colab.srt 4KB
  454. 11. Deep Learning in Computer Vision Introduction/10. Fully Connected Layers.srt 4KB
  455. 11. Deep Learning in Computer Vision Introduction/11. Softmax.srt 4KB
  456. 24. Generative Adversarial Networks (GANs)/9. ArcaneGAN.srt 4KB
  457. 15. Improving Models and Advanced CNN Design/8. When Do We Use Regularization.srt 3KB
  458. 12. Building CNNs in PyTorch/6. Optimisers and Loss Function.srt 3KB
  459. 15. Improving Models and Advanced CNN Design/2. Introduction to Regularization.srt 3KB
  460. 2. Download Code and Setup Colab/1. Download Course Resources.html 804B
  461. 0. Websites you may like/[FreeCourseSite.com].url 127B
  462. 23. Autoencoders/0. Websites you may like/[FreeCourseSite.com].url 127B
  463. 6. OpenCV - Image Analysis and Transformation/0. Websites you may like/[FreeCourseSite.com].url 127B
  464. 0. Websites you may like/[CourseClub.Me].url 122B
  465. 23. Autoencoders/0. Websites you may like/[CourseClub.Me].url 122B
  466. 6. OpenCV - Image Analysis and Transformation/0. Websites you may like/[CourseClub.Me].url 122B
  467. 0. Websites you may like/[GigaCourse.Com].url 49B
  468. 23. Autoencoders/0. Websites you may like/[GigaCourse.Com].url 49B
  469. 6. OpenCV - Image Analysis and Transformation/0. Websites you may like/[GigaCourse.Com].url 49B