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Modern Computer Vision PyTorch, Tensorflow2 Keras and OpenCV4__2022-02udemy

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文件列表

  1. 02 Download Code and Setup Colab/1 Modern Computer Vision__2022-02-25.7z 115MB
  2. 16 Visualizing What CNN's Learn/6 Filter and Class Maximization.mkv 3MB
  3. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2 Loading Pre-Trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mkv 3MB
  4. 09 OpenCV Projects/06 Neural Style Transfer with OpenCV.mkv 3MB
  5. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5 DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mkv 3MB
  6. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1 Implementing LeNet and AlexNet in Keras.mkv 3MB
  7. 04 OpenCV - Image Segmentation/2 Moments, Sorting, Approximating and Matching Contours.mkv 3MB
  8. 22 Google DeepStream and Neural Style Transfer/5 Neural Style Transfer in Keras.mkv 3MB
  9. 21 Transfer Learning and Fine Tuning/4 Keras Feature Extraction.mkv 2MB
  10. 04 OpenCV - Image Segmentation/1 Contours - Drawing, Hierarchy and Modes.mkv 2MB
  11. 09 OpenCV Projects/03 OCR with PyTesseract and EasyOCR (Text Detection).mkv 2MB
  12. 29 Gun Detector - Scaled-YOLOv4/1 Gun Detector - Scaled-YOLOv4.mkv 2MB
  13. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3 Loading Pre-Trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mkv 2MB
  14. 19 Using Callbacks in Keras and PyTorch/2 Cats vs Dogs Classifier Using Callbacks in PyTorch.mkv 2MB
  15. 24 Generative Adversarial Networks (GANs)/5 Keras DCGAN with MNIST.mkv 2MB
  16. 19 Using Callbacks in Keras and PyTorch/3 Cats vs Dogs Classifier Using Callbacks in Keras.mkv 2MB
  17. 21 Transfer Learning and Fine Tuning/5 PyTorch Fine Tuning.mkv 2MB
  18. 03 OpenCV - Image Operations/09 Thresholding, Binarization and Adaptive Thresholding.mkv 2MB
  19. 16 Visualizing What CNN's Learn/3 Keras Filter Visualization and Activations.mkv 2MB
  20. 03 OpenCV - Image Operations/06 Scaling, Re-sizing, Interpolations and Cropping.mkv 2MB
  21. 21 Transfer Learning and Fine Tuning/7 PyTorch Feature Extraction.mkv 2MB
  22. 20 PyTorch Lightning/3 Auto Batch and Learning Rate Selection Plus Tensorboards.mkv 2MB
  23. 15 Improving Models and Advanced CNN Design/12 Training a Fashion Classifider (FNIST) with Regularization Using PyTorch.mkv 2MB
  24. 03 OpenCV - Image Operations/01 Getting Started with OpenCV4.mkv 2MB
  25. 15 Improving Models and Advanced CNN Design/10 Training a Fashion Classifider (FNIST) with Regularization Using Keras.mkv 2MB
  26. 31 Sign Language Detector TFODAPI EfficentDet/1 Sign Language Detector TFODAPI EfficentDet.mkv 2MB
  27. 21 Transfer Learning and Fine Tuning/3 Transfer Learning and Fine Tuning with Keras.mkv 2MB
  28. 43 Tracking with DeepSORT/2 DeepSORT with YOLOv5.mkv 2MB
  29. 05 OpenCV - Haar Cascade Classifiers/1 Face and Eye Detection with Haar Cascade Classifiers.mkv 2MB
  30. 24 Generative Adversarial Networks (GANs)/7 Super Resolution GAN.mkv 2MB
  31. 53 Point Cloud Segmentation Using PointNet/1 Point Cloud Segmentation Using PointNet.mkv 2MB
  32. 56 Low Light Image Enhancement MIRNet/1 Low Light Image Enhancement MIRNet.mkv 2MB
  33. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5 Getting the Rank-N Accuracy in PyTorch.mkv 2MB
  34. 07 OpenCV - Motion and Object Tracking/2 Object Tracking with Optical Flow.mkv 2MB
  35. 01 Introduction/1 Course Introduction.mkv 2MB
  36. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/1 Introduction to Deep Segmentation.mkv 2MB
  37. 12 Building CNNs in PyTorch/5 Building Our Model.mkv 2MB
  38. 16 Visualizing What CNN's Learn/8 Grad-CAM Plus.mkv 2MB
  39. 14 Assessing Model Performance/1 Deep Learning Libraries PyTorch vs Keras Review.mkv 2MB
  40. 49 Image Captioning with Keras/1 Image Captioning with Keras.mkv 2MB
  41. 30 Mask Detector TFODAPI MobileNetV2_SSD/1 Mask Detector TFODAPI MobileNetV2_SSD.mkv 2MB
  42. 08 OpenCV - Facial Landmark Detection and Face Swaps/2 Face Swapping with Dlib.mkv 2MB
  43. 14 Assessing Model Performance/3 Confusion Matrix and Classification Report.mkv 2MB
  44. 24 Generative Adversarial Networks (GANs)/4 Use Cases for GANs.mkv 2MB
  45. 12 Building CNNs in PyTorch/7 Training Your Model.mkv 2MB
  46. 10 OpenCV - Working with Video/1 Using Your Webcam and Creating a Live Sketch of Yourself.mkv 2MB
  47. 23 Autoencoders/2 Autoencoders in Keras.mkv 2MB
  48. 05 OpenCV - Haar Cascade Classifiers/2 Vehicle and Pedestrian Detection.mkv 2MB
  49. 11 Deep Learning in Computer Vision Introduction/21 Deep Learning History.mkv 1MB
  50. 09 OpenCV Projects/10 Add and Remove Noise and Fix Contrast with Histogram Equalization.mkv 1MB
  51. 25 Siamese Network/3 Siamese Networks in Keras.mkv 1MB
  52. 33 Mushroom Detector Detectron2/1 Mushroom Detector Detectron2.mkv 1MB
  53. 15 Improving Models and Advanced CNN Design/09 Training a Fashion Classifider (FNIST) with no Regularization Using Keras.mkv 1MB
  54. 01 Introduction/2 Course Overview.mkv 1MB
  55. 06 OpenCV - Image Analysis and Transformation/2 Histograms and K-Means Clustering for Dominant Colors.mkv 1MB
  56. 03 OpenCV - Image Operations/10 Dilation, Erosion and Edge Detection.mkv 1MB
  57. 45 Vision Transformers - ViTs/2 Vision Transformer in Detail with PyTorch.mkv 1MB
  58. 10 OpenCV - Working with Video/7 Importing YouTube Videos into OpenCV.mkv 1MB
  59. 09 OpenCV Projects/05 YOLOv3 in OpenCV.mkv 1MB
  60. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/2 Image Segmentation Keras UNET SegNet.mkv 1MB
  61. 09 OpenCV Projects/12 Facial Recognition.mkv 1MB
  62. 13 Building CNNs in TensorFlow with Keras/7 Saving and Loading and Visualising Results.mkv 1MB
  63. 06 OpenCV - Image Analysis and Transformation/6 Background and Foreground Subtraction.mkv 1MB
  64. 57 Deploy Your CV App Using Flask RestFUL API and Web App/1 Flask RestFUL API.mkv 1MB
  65. 09 OpenCV Projects/04 Barcode, QR Generation and Reading.mkv 1MB
  66. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3 Face Recognition Keras One Shot Learning and Friends.mkv 1MB
  67. 25 Siamese Network/4 Siamese Networks in PyTorch.mkv 1MB
  68. 23 Autoencoders/3 Autoencoders in PyTorch.mkv 1MB
  69. 03 OpenCV - Image Operations/07 Arithmetic and Bitwise Operations.mkv 1MB
  70. 35 Drone Maritime Detector R-CNN/1 Drone Maritime Detector R-CNN.mkv 1MB
  71. 14 Assessing Model Performance/4 Keras Viewing Misclassifications.mkv 1MB
  72. 24 Generative Adversarial Networks (GANs)/6 PyTorch GANs.mkv 1MB
  73. 22 Google DeepStream and Neural Style Transfer/2 Google DeepDream in Keras.mkv 1MB
  74. 09 OpenCV Projects/08 Colorize Black and White Photos Using a Caffe Model in OpenCV.mkv 1MB
  75. 47 Depth Estimation/1 Depth Estimation Project.mkv 1MB
  76. 11 Deep Learning in Computer Vision Introduction/22 Deep Learning Libraries Overview.mkv 1MB
  77. 32 Pothole Detector - TinyYOLOv4/1 Pothole Detector - TinyYOLOv4.mkv 1MB
  78. 20 PyTorch Lightning/4 PyTorch Lightning Calls, Saving, Inference.mkv 1MB
  79. 22 Google DeepStream and Neural Style Transfer/4 Introduction to Neural Style Transfer.mkv 1MB
  80. 40 Plant Doctor Detector YOLOv5/1 Plant Doctor Detector YOLOv5.mkv 1MB
  81. 07 OpenCV - Motion and Object Tracking/1 Motion Tracking with Mean Shift and CAMSHIFT.mkv 1MB
  82. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/5 Detectron2 Mask R-CNN.mkv 1MB
  83. 06 OpenCV - Image Analysis and Transformation/1 Perspective Transforms.mkv 1MB
  84. 03 OpenCV - Image Operations/04 Drawing on Images.mkv 1MB
  85. 15 Improving Models and Advanced CNN Design/11 Training a Fashion Classifider (FNIST) with no Regularization Using PyTorch.mkv 1MB
  86. 20 PyTorch Lightning/5 Training on Multiple GPU, Profiling and Tpus.mkv 1MB
  87. 17 Advamced Convolutional Neural Networks/07 MobileNetV1 and V2.mkv 1MB
  88. 12 Building CNNs in PyTorch/3 Inspect and Visualise Data.mkv 1MB
  89. 03 OpenCV - Image Operations/05 Transformations - Translations and Rotations.mkv 1MB
  90. 11 Deep Learning in Computer Vision Introduction/20 Deep Learning CNN Recap.mkv 1MB
  91. 22 Google DeepStream and Neural Style Transfer/6 Neural Style Transfer in PyTorch.mkv 1MB
  92. 27 Object Detection/1 Object Detection.mkv 1MB
  93. 03 OpenCV - Image Operations/03 Colour Spaces - RGB and HSV.mkv 1MB
  94. 43 Tracking with DeepSORT/1 DeepSORT Introduction.mkv 1MB
  95. 55 Medical Project - 3D CT Scan Classification/1 3D CT Scan Classification.mkv 1MB
  96. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/4 Mask-RCNN TensorFlow Matterport.mkv 1MB
  97. 54 Medical Project - X-Ray Pneumonia Prediction/1 X-Ray Pneumonia Prediction.mkv 1MB
  98. 52 Point Cloud Classification PointNet/1 Point Cloud Classification PointNet.mkv 1MB
  99. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/3 PyTorch DeepLabV3.mkv 1MB
  100. 39 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv 1MB
  101. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6 Getting the Rank-N Accuracy in Keras.mkv 1MB
  102. 20 PyTorch Lightning/2 Lightning Setup and Class.mkv 1MB
  103. 37 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv 1MB
  104. 44 Deep Fakes/1 Creating a Deep Fake.mkv 1MB
  105. 09 OpenCV Projects/01 Tilt Shift Effects.mkv 1MB
  106. 21 Transfer Learning and Fine Tuning/2 Transfer Learning in PyTorch Lightning.mkv 1MB
  107. 27 Object Detection/2 History of Object Detectors.mkv 1MB
  108. 22 Google DeepStream and Neural Style Transfer/3 Google DeepDream in PyTorch.mkv 1MB
  109. 15 Improving Models and Advanced CNN Design/01 What is Overfitting and Generalisation.mkv 1MB
  110. 46 BiT BigTransfer Classifier Keras/1 BiT BigTransfer Classifier Keras.mkv 1MB
  111. 04 OpenCV - Image Segmentation/4 Counting Circles, Ellipses and Finding Waldo with Template Matching.mkv 1MB
  112. 11 Deep Learning in Computer Vision Introduction/02 Convolutions.mkv 1MB
  113. 50 Video Classification Usign CNN+RNN/1 Video Classification Usign CNN+RNN.mkv 1MB
  114. 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/6 Train Mask R-CNN Shapes Dataset.mkv 1MB
  115. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4 Face Recognition PyTorch FaceNet.mkv 1020KB
  116. 10 OpenCV - Working with Video/6 Capturing Video Using Screenshots.mkv 1017KB
  117. 27 Object Detection/6 R-CNNs, Fast R-CNNs and Faster R-CNNs.mkv 1014KB
  118. 12 Building CNNs in PyTorch/8 Saving Model and Displaying Results.mkv 1007KB
  119. 48 Image Similarity Using Metric Learning/1 Image Similarity Using Metric Learning.mkv 1006KB
  120. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2 Facial Similarity Keras VGGFace.mkv 1002KB
  121. 24 Generative Adversarial Networks (GANs)/3 Training GANs.mkv 989KB
  122. 34 Website Region Detector YOLOv4 Darknet/1 Website Region Detector YOLOv4 Darknet.mkv 985KB
  123. 03 OpenCV - Image Operations/08 Convolutions, Blurring and Sharpening Images.mkv 982KB
  124. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/6 Detectron2.mkv 972KB
  125. 04 OpenCV - Image Segmentation/3 Line, Circle and Blob Detection.mkv 969KB
  126. 09 OpenCV Projects/07 SSDs in OpenCV.mkv 968KB
  127. 20 PyTorch Lightning/1 Introduction to PyTorch Lightning.mkv 966KB
  128. 13 Building CNNs in TensorFlow with Keras/4 Constructing the CNN.mkv 962KB
  129. 11 Deep Learning in Computer Vision Introduction/18 Gradient Descent.mkv 959KB
  130. 14 Assessing Model Performance/6 PyTorch Viewing Misclassifications.mkv 957KB
  131. 07 OpenCV - Motion and Object Tracking/3 Simple Object Tracking by Color.mkv 956KB
  132. 12 Building CNNs in PyTorch/1 Importing Required Libraries.mkv 949KB
  133. 03 OpenCV - Image Operations/02 Grayscaling Images.mkv 945KB
  134. 21 Transfer Learning and Fine Tuning/1 Transfer Learning Introduction.mkv 944KB
  135. 09 OpenCV Projects/02 GrabCut Algorithm for Background Removal.mkv 938KB
  136. 57 Deploy Your CV App Using Flask RestFUL API and Web App/2 Flask Web App.mkv 921KB
  137. 27 Object Detection/4 Mean Average Precision.mkv 913KB
  138. 45 Vision Transformers - ViTs/3 Vision Transformers in Keras.mkv 908KB
  139. 58 OCR Captcha Cracker/1 OCR Captcha Cracker.mkv 907KB
  140. 11 Deep Learning in Computer Vision Introduction/19 Optimisers and Learning Rate Schedules.mkv 898KB
  141. 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1 Face Recognition Overview.mkv 896KB
  142. 10 OpenCV - Working with Video/2 Opening Video Files in OpenCV.mkv 884KB
  143. 01 Introduction/4 What Are Images.mkv 874KB
  144. 11 Deep Learning in Computer Vision Introduction/12 Putting Together Your Convolutional Neural Network.mkv 871KB
  145. 06 OpenCV - Image Analysis and Transformation/5 Watershed Algorithm Marker-Dased Image Segmentation.mkv 870KB
  146. 51 Video Classification with Transformers/1 Video Classification with Transformers.mkv 866KB
  147. 16 Visualizing What CNN's Learn/2 Visualising Filter Activations.mkv 862KB
  148. 17 Advamced Convolutional Neural Networks/11 DenseNet.mkv 856KB
  149. 27 Object Detection/7 Single Shot Detectors (SSDs).mkv 840KB
  150. 36 Chess Piece YOLOv3/1 Chess Piece YOLOv3.mkv 838KB
  151. 11 Deep Learning in Computer Vision Introduction/17 Backpropagation.mkv 833KB
  152. 06 OpenCV - Image Analysis and Transformation/4 Filtering on Colour.mkv 832KB
  153. 10 OpenCV - Working with Video/4 Video Streams and CCTV - RTSP and IP.mkv 827KB
  154. 14 Assessing Model Performance/5 Keras - Confusion Matrix and Classification Report.mkv 827KB
  155. 11 Deep Learning in Computer Vision Introduction/03 Feature Detectors.mkv 825KB
  156. 23 Autoencoders/1 Introduction to Autoencoders.mkv 797KB
  157. 06 OpenCV - Image Analysis and Transformation/3 Comparing Images MSE and Structual Similarity.mkv 793KB
  158. 01 Introduction/3 What Makes Computer Vision Hard.mkv 792KB
  159. 11 Deep Learning in Computer Vision Introduction/09 Pooling.mkv 791KB
  160. 13 Building CNNs in TensorFlow with Keras/5 Training the Model.mkv 790KB
  161. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/5 EfficientDet.mkv 785KB
  162. 11 Deep Learning in Computer Vision Introduction/16 Loss Functions.mkv 774KB
  163. 25 Siamese Network/1 Introduction to Siamese Networks.mkv 772KB
  164. 17 Advamced Convolutional Neural Networks/08 InceptionV3.mkv 762KB
  165. 13 Building CNNs in TensorFlow with Keras/6 Plotting the Training Results.mkv 751KB
  166. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/1 Introduction to YOLO.mkv 744KB
  167. 17 Advamced Convolutional Neural Networks/12 The ImageNet Dataset.mkv 739KB
  168. 11 Deep Learning in Computer Vision Introduction/15 Training a CNN.mkv 737KB
  169. 09 OpenCV Projects/11 Detect Blur in Images.mkv 737KB
  170. 22 Google DeepStream and Neural Style Transfer/1 Introduction to Google DeepDream Visualizations.mkv 719KB
  171. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/4 YOLO Evolution.mkv 718KB
  172. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/2 How YOLO Works.mkv 717KB
  173. 24 Generative Adversarial Networks (GANs)/9 ArcaneGAN.mkv 712KB
  174. 14 Assessing Model Performance/2 Assessing Model Performance.mkv 700KB
  175. 16 Visualizing What CNN's Learn/1 Visualizing CNN Filters or Feature Maps.mkv 699KB
  176. 08 OpenCV - Facial Landmark Detection and Face Swaps/1 Facial Landmark Detection with Dlib.mkv 697KB
  177. 24 Generative Adversarial Networks (GANs)/1 Introduction to GANs.mkv 695KB
  178. 10 OpenCV - Working with Video/3 Saving or Recording Videos in OpenCV.mkv 694KB
  179. 04 OpenCV - Image Segmentation/5 Finding Corners.mkv 687KB
  180. 10 OpenCV - Working with Video/5 Auto Reconnect to Video Streams.mkv 680KB
  181. 24 Generative Adversarial Networks (GANs)/8 AnimeGAN.mkv 671KB
  182. 45 Vision Transformers - ViTs/1 Introduction to Vision Transformers.mkv 668KB
  183. 17 Advamced Convolutional Neural Networks/10 EfficientNet.mkv 665KB
  184. 38 Hard Hat Detector EfficentDet/1 Hard Hat Detector EfficentDet.mkv 649KB
  185. 24 Generative Adversarial Networks (GANs)/2 How Do GANs Work.mkv 644KB
  186. 42 Body Pose Estimation/1 Body Pose Estimation.mkv 642KB
  187. 11 Deep Learning in Computer Vision Introduction/07 Stride.mkv 633KB
  188. 16 Visualizing What CNN's Learn/5 Class Maximization.mkv 633KB
  189. 11 Deep Learning in Computer Vision Introduction/13 Parameter Counts in CNNs.mkv 628KB
  190. 17 Advamced Convolutional Neural Networks/04 VGG16 and VGG19.mkv 622KB
  191. 13 Building CNNs in TensorFlow with Keras/3 Preprocessing Our Data.mkv 614KB
  192. 12 Building CNNs in PyTorch/4 Data Loaders.mkv 613KB
  193. 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/3 Training YOLO.mkv 612KB
  194. 13 Building CNNs in TensorFlow with Keras/1 Loading Data.mkv 612KB
  195. 11 Deep Learning in Computer Vision Introduction/08 Activation Functions.mkv 611KB
  196. 14 Assessing Model Performance/7 PyTorch - Confusion Matrix and Misclassifications.mkv 610KB
  197. 15 Improving Models and Advanced CNN Design/07 Batch Normalization.mkv 596KB
  198. 17 Advamced Convolutional Neural Networks/09 SqueezeNet.mkv 595KB
  199. 11 Deep Learning in Computer Vision Introduction/01 Introduction to Convolution Neural Networks.mkv 594KB
  200. 13 Building CNNs in TensorFlow with Keras/2 View and Inspect Data.mkv 585KB
  201. 17 Advamced Convolutional Neural Networks/05 ResNets.mkv 571KB
  202. 11 Deep Learning in Computer Vision Introduction/04 3D Convolutions and Color Images.mkv 562KB
  203. 12 Building CNNs in PyTorch/9 Plot and Visualize Your Results.mkv 550KB
  204. 15 Improving Models and Advanced CNN Design/04 L1 and L2 Regularization.mkv 549KB
  205. 17 Advamced Convolutional Neural Networks/06 Why ResNets Work So Well.mkv 547KB
  206. 21 Transfer Learning and Fine Tuning/6 PyTorch Transfer Learning and Freezing Network Layers.mkv 543KB
  207. 19 Using Callbacks in Keras and PyTorch/1 What Are Callbacks.mkv 542KB
  208. 11 Deep Learning in Computer Vision Introduction/14 Why CNNs Work So Well on Images.mkv 532KB
  209. 16 Visualizing What CNN's Learn/4 Maximizing Filters.mkv 530KB
  210. 15 Improving Models and Advanced CNN Design/05 Data Augmentation.mkv 529KB
  211. 09 OpenCV Projects/09 Inpainting to Restore Damaged Photos.mkv 527KB
  212. 11 Deep Learning in Computer Vision Introduction/05 Kernel Size and Depth.mkv 524KB
  213. 17 Advamced Convolutional Neural Networks/02 LeNet.mkv 512KB
  214. 12 Building CNNs in PyTorch/2 Transformation Pipeline.mkv 505KB
  215. 11 Deep Learning in Computer Vision Introduction/06 Padding.mkv 463KB
  216. 17 Advamced Convolutional Neural Networks/03 AlexNet.mkv 451KB
  217. 25 Siamese Network/2 Training Siamese Networks.mkv 440KB
  218. 02 Download Code and Setup Colab/2 Setup - Download Code and Configure Colab.mkv 412KB
  219. 15 Improving Models and Advanced CNN Design/06 Early Stopping.mkv 407KB
  220. 17 Advamced Convolutional Neural Networks/01 History and Evolution of Convolutional Neural Networks.mkv 395KB
  221. 16 Visualizing What CNN's Learn/7 Grad-CAM Visualize What Influences Your Model.mkv 384KB
  222. 15 Improving Models and Advanced CNN Design/03 Drop Out.mkv 383KB
  223. 11 Deep Learning in Computer Vision Introduction/10 Fully Connected Layers.mkv 366KB
  224. 27 Object Detection/3 Intersection Over Union.mkv 363KB
  225. 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4 The Top-N or Rank-N Accuracy Metric.mkv 351KB
  226. 27 Object Detection/5 Non Maximum Suppression.mkv 349KB
  227. 11 Deep Learning in Computer Vision Introduction/11 Softmax.mkv 332KB
  228. 12 Building CNNs in PyTorch/6 Optimisers and Loss Function.mkv 297KB
  229. 15 Improving Models and Advanced CNN Design/08 When Do We Use Regularization.mkv 280KB
  230. 15 Improving Models and Advanced CNN Design/02 Introduction to Regularization.mkv 243KB
  231. 02 Download Code and Setup Colab/1 Download Course Resources.html 588B
  232. Readme.txt 108B