Modern Computer Vision PyTorch, Tensorflow2 Keras and OpenCV4__2022-02udemy
    
    File List
    
        
            
                
                    - 02 Download Code and Setup Colab/1 Modern Computer Vision__2022-02-25.7z  115.2 MB
 
                
                    - 16 Visualizing What CNN's Learn/6 Filter and Class Maximization.mkv  3.3 MB
 
                
                    - 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2 Loading Pre-Trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mkv  3.1 MB
 
                
                    - 09 OpenCV Projects/06 Neural Style Transfer with OpenCV.mkv  2.8 MB
 
                
                    - 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5 DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mkv  2.6 MB
 
                
                    - 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1 Implementing LeNet and AlexNet in Keras.mkv  2.5 MB
 
                
                    - 04 OpenCV - Image Segmentation/2 Moments, Sorting, Approximating and Matching Contours.mkv  2.5 MB
 
                
                    - 22 Google DeepStream and Neural Style Transfer/5 Neural Style Transfer in Keras.mkv  2.5 MB
 
                
                    - 21 Transfer Learning and Fine Tuning/4 Keras Feature Extraction.mkv  2.4 MB
 
                
                    - 04 OpenCV - Image Segmentation/1 Contours - Drawing, Hierarchy and Modes.mkv  2.3 MB
 
                
                    - 09 OpenCV Projects/03 OCR with PyTesseract and EasyOCR (Text Detection).mkv  2.3 MB
 
                
                    - 29 Gun Detector - Scaled-YOLOv4/1 Gun Detector - Scaled-YOLOv4.mkv  2.3 MB
 
                
                    - 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3 Loading Pre-Trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mkv  2.2 MB
 
                
                    - 19 Using Callbacks in Keras and PyTorch/2 Cats vs Dogs Classifier Using Callbacks in PyTorch.mkv  2.2 MB
 
                
                    - 24 Generative Adversarial Networks (GANs)/5 Keras DCGAN with MNIST.mkv  2.1 MB
 
                
                    - 19 Using Callbacks in Keras and PyTorch/3 Cats vs Dogs Classifier Using Callbacks in Keras.mkv  2.1 MB
 
                
                    - 21 Transfer Learning and Fine Tuning/5 PyTorch Fine Tuning.mkv  2.1 MB
 
                
                    - 03 OpenCV - Image Operations/09 Thresholding, Binarization and Adaptive Thresholding.mkv  2.1 MB
 
                
                    - 16 Visualizing What CNN's Learn/3 Keras Filter Visualization and Activations.mkv  2.0 MB
 
                
                    - 03 OpenCV - Image Operations/06 Scaling, Re-sizing, Interpolations and Cropping.mkv  2.0 MB
 
                
                    - 21 Transfer Learning and Fine Tuning/7 PyTorch Feature Extraction.mkv  2.0 MB
 
                
                    - 20 PyTorch Lightning/3 Auto Batch and Learning Rate Selection Plus Tensorboards.mkv  2.0 MB
 
                
                    - 15 Improving Models and Advanced CNN Design/12 Training a Fashion Classifider (FNIST) with Regularization Using PyTorch.mkv  1.9 MB
 
                
                    - 03 OpenCV - Image Operations/01 Getting Started with OpenCV4.mkv  1.9 MB
 
                
                    - 15 Improving Models and Advanced CNN Design/10 Training a Fashion Classifider (FNIST) with Regularization Using Keras.mkv  1.8 MB
 
                
                    - 31 Sign Language Detector TFODAPI EfficentDet/1 Sign Language Detector TFODAPI EfficentDet.mkv  1.8 MB
 
                
                    - 21 Transfer Learning and Fine Tuning/3 Transfer Learning and Fine Tuning with Keras.mkv  1.7 MB
 
                
                    - 43 Tracking with DeepSORT/2 DeepSORT with YOLOv5.mkv  1.7 MB
 
                
                    - 05 OpenCV - Haar Cascade Classifiers/1 Face and Eye Detection with Haar Cascade Classifiers.mkv  1.7 MB
 
                
                    - 24 Generative Adversarial Networks (GANs)/7 Super Resolution GAN.mkv  1.7 MB
 
                
                    - 53 Point Cloud Segmentation Using PointNet/1 Point Cloud Segmentation Using PointNet.mkv  1.7 MB
 
                
                    - 56 Low Light Image Enhancement MIRNet/1 Low Light Image Enhancement MIRNet.mkv  1.6 MB
 
                
                    - 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5 Getting the Rank-N Accuracy in PyTorch.mkv  1.6 MB
 
                
                    - 07 OpenCV - Motion and Object Tracking/2 Object Tracking with Optical Flow.mkv  1.6 MB
 
                
                    - 01 Introduction/1 Course Introduction.mkv  1.6 MB
 
                
                    - 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/1 Introduction to Deep Segmentation.mkv  1.6 MB
 
                
                    - 12 Building CNNs in PyTorch/5 Building Our Model.mkv  1.6 MB
 
                
                    - 16 Visualizing What CNN's Learn/8 Grad-CAM Plus.mkv  1.6 MB
 
                
                    - 14 Assessing Model Performance/1 Deep Learning Libraries PyTorch vs Keras Review.mkv  1.5 MB
 
                
                    - 49 Image Captioning with Keras/1 Image Captioning with Keras.mkv  1.5 MB
 
                
                    - 30 Mask Detector TFODAPI MobileNetV2_SSD/1 Mask Detector TFODAPI MobileNetV2_SSD.mkv  1.5 MB
 
                
                    - 08 OpenCV - Facial Landmark Detection and Face Swaps/2 Face Swapping with Dlib.mkv  1.5 MB
 
                
                    - 14 Assessing Model Performance/3 Confusion Matrix and Classification Report.mkv  1.5 MB
 
                
                    - 24 Generative Adversarial Networks (GANs)/4 Use Cases for GANs.mkv  1.5 MB
 
                
                    - 12 Building CNNs in PyTorch/7 Training Your Model.mkv  1.5 MB
 
                
                    - 10 OpenCV - Working with Video/1 Using Your Webcam and Creating a Live Sketch of Yourself.mkv  1.5 MB
 
                
                    - 23 Autoencoders/2 Autoencoders in Keras.mkv  1.5 MB
 
                
                    - 05 OpenCV - Haar Cascade Classifiers/2 Vehicle and Pedestrian Detection.mkv  1.5 MB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/21 Deep Learning History.mkv  1.5 MB
 
                
                    - 09 OpenCV Projects/10 Add and Remove Noise and Fix Contrast with Histogram Equalization.mkv  1.5 MB
 
                
                    - 25 Siamese Network/3 Siamese Networks in Keras.mkv  1.5 MB
 
                
                    - 33 Mushroom Detector Detectron2/1 Mushroom Detector Detectron2.mkv  1.5 MB
 
                
                    - 15 Improving Models and Advanced CNN Design/09 Training a Fashion Classifider (FNIST) with no Regularization Using Keras.mkv  1.5 MB
 
                
                    - 01 Introduction/2 Course Overview.mkv  1.5 MB
 
                
                    - 06 OpenCV - Image Analysis and Transformation/2 Histograms and K-Means Clustering for Dominant Colors.mkv  1.4 MB
 
                
                    - 03 OpenCV - Image Operations/10 Dilation, Erosion and Edge Detection.mkv  1.4 MB
 
                
                    - 45 Vision Transformers - ViTs/2 Vision Transformer in Detail with PyTorch.mkv  1.4 MB
 
                
                    - 10 OpenCV - Working with Video/7 Importing YouTube Videos into OpenCV.mkv  1.4 MB
 
                
                    - 09 OpenCV Projects/05 YOLOv3 in OpenCV.mkv  1.4 MB
 
                
                    - 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/2 Image Segmentation Keras UNET SegNet.mkv  1.4 MB
 
                
                    - 09 OpenCV Projects/12 Facial Recognition.mkv  1.4 MB
 
                
                    - 13 Building CNNs in TensorFlow with Keras/7 Saving and Loading and Visualising Results.mkv  1.4 MB
 
                
                    - 06 OpenCV - Image Analysis and Transformation/6 Background and Foreground Subtraction.mkv  1.4 MB
 
                
                    - 57 Deploy Your CV App Using Flask RestFUL API and Web App/1 Flask RestFUL API.mkv  1.4 MB
 
                
                    - 09 OpenCV Projects/04 Barcode, QR Generation and Reading.mkv  1.4 MB
 
                
                    - 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3 Face Recognition Keras One Shot Learning and Friends.mkv  1.3 MB
 
                
                    - 25 Siamese Network/4 Siamese Networks in PyTorch.mkv  1.3 MB
 
                
                    - 23 Autoencoders/3 Autoencoders in PyTorch.mkv  1.3 MB
 
                
                    - 03 OpenCV - Image Operations/07 Arithmetic and Bitwise Operations.mkv  1.3 MB
 
                
                    - 35 Drone Maritime Detector R-CNN/1 Drone Maritime Detector R-CNN.mkv  1.3 MB
 
                
                    - 14 Assessing Model Performance/4 Keras Viewing Misclassifications.mkv  1.3 MB
 
                
                    - 24 Generative Adversarial Networks (GANs)/6 PyTorch GANs.mkv  1.3 MB
 
                
                    - 22 Google DeepStream and Neural Style Transfer/2 Google DeepDream in Keras.mkv  1.3 MB
 
                
                    - 09 OpenCV Projects/08 Colorize Black and White Photos Using a Caffe Model in OpenCV.mkv  1.2 MB
 
                
                    - 47 Depth Estimation/1 Depth Estimation Project.mkv  1.2 MB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/22 Deep Learning Libraries Overview.mkv  1.2 MB
 
                
                    - 32 Pothole Detector - TinyYOLOv4/1 Pothole Detector - TinyYOLOv4.mkv  1.2 MB
 
                
                    - 20 PyTorch Lightning/4 PyTorch Lightning Calls, Saving, Inference.mkv  1.2 MB
 
                
                    - 22 Google DeepStream and Neural Style Transfer/4 Introduction to Neural Style Transfer.mkv  1.2 MB
 
                
                    - 40 Plant Doctor Detector YOLOv5/1 Plant Doctor Detector YOLOv5.mkv  1.2 MB
 
                
                    - 07 OpenCV - Motion and Object Tracking/1 Motion Tracking with Mean Shift and CAMSHIFT.mkv  1.2 MB
 
                
                    - 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/5 Detectron2 Mask R-CNN.mkv  1.2 MB
 
                
                    - 06 OpenCV - Image Analysis and Transformation/1 Perspective Transforms.mkv  1.2 MB
 
                
                    - 03 OpenCV - Image Operations/04 Drawing on Images.mkv  1.2 MB
 
                
                    - 15 Improving Models and Advanced CNN Design/11 Training a Fashion Classifider (FNIST) with no Regularization Using PyTorch.mkv  1.2 MB
 
                
                    - 20 PyTorch Lightning/5 Training on Multiple GPU, Profiling and Tpus.mkv  1.2 MB
 
                
                    - 17 Advamced Convolutional Neural Networks/07 MobileNetV1 and V2.mkv  1.2 MB
 
                
                    - 12 Building CNNs in PyTorch/3 Inspect and Visualise Data.mkv  1.2 MB
 
                
                    - 03 OpenCV - Image Operations/05 Transformations - Translations and Rotations.mkv  1.2 MB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/20 Deep Learning CNN Recap.mkv  1.2 MB
 
                
                    - 22 Google DeepStream and Neural Style Transfer/6 Neural Style Transfer in PyTorch.mkv  1.1 MB
 
                
                    - 27 Object Detection/1 Object Detection.mkv  1.1 MB
 
                
                    - 03 OpenCV - Image Operations/03 Colour Spaces - RGB and HSV.mkv  1.1 MB
 
                
                    - 43 Tracking with DeepSORT/1 DeepSORT Introduction.mkv  1.1 MB
 
                
                    - 55 Medical Project - 3D CT Scan Classification/1 3D CT Scan Classification.mkv  1.1 MB
 
                
                    - 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/4 Mask-RCNN TensorFlow Matterport.mkv  1.1 MB
 
                
                    - 54 Medical Project - X-Ray Pneumonia Prediction/1 X-Ray Pneumonia Prediction.mkv  1.1 MB
 
                
                    - 52 Point Cloud Classification PointNet/1 Point Cloud Classification PointNet.mkv  1.1 MB
 
                
                    - 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/3 PyTorch DeepLabV3.mkv  1.1 MB
 
                
                    - 39 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv  1.1 MB
 
                
                    - 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6 Getting the Rank-N Accuracy in Keras.mkv  1.1 MB
 
                
                    - 20 PyTorch Lightning/2 Lightning Setup and Class.mkv  1.1 MB
 
                
                    - 37 Bloodcell Detector YOLOv5/1 Bloodcell Detector YOLOv5.mkv  1.1 MB
 
                
                    - 44 Deep Fakes/1 Creating a Deep Fake.mkv  1.1 MB
 
                
                    - 09 OpenCV Projects/01 Tilt Shift Effects.mkv  1.1 MB
 
                
                    - 21 Transfer Learning and Fine Tuning/2 Transfer Learning in PyTorch Lightning.mkv  1.1 MB
 
                
                    - 27 Object Detection/2 History of Object Detectors.mkv  1.0 MB
 
                
                    - 22 Google DeepStream and Neural Style Transfer/3 Google DeepDream in PyTorch.mkv  1.0 MB
 
                
                    - 15 Improving Models and Advanced CNN Design/01 What is Overfitting and Generalisation.mkv  1.0 MB
 
                
                    - 46 BiT BigTransfer Classifier Keras/1 BiT BigTransfer Classifier Keras.mkv  1.0 MB
 
                
                    - 04 OpenCV - Image Segmentation/4 Counting Circles, Ellipses and Finding Waldo with Template Matching.mkv  1.0 MB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/02 Convolutions.mkv  1.0 MB
 
                
                    - 50 Video Classification Usign CNN+RNN/1 Video Classification Usign CNN+RNN.mkv  1.0 MB
 
                
                    - 41 Deep Segmentation - U-Net, SegNet, DeepLabV3 and Mask R-CNN/6 Train Mask R-CNN Shapes Dataset.mkv  1.0 MB
 
                
                    - 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4 Face Recognition PyTorch FaceNet.mkv  1019.5 KB
 
                
                    - 10 OpenCV - Working with Video/6 Capturing Video Using Screenshots.mkv  1016.7 KB
 
                
                    - 27 Object Detection/6 R-CNNs, Fast R-CNNs and Faster R-CNNs.mkv  1013.8 KB
 
                
                    - 12 Building CNNs in PyTorch/8 Saving Model and Displaying Results.mkv  1006.6 KB
 
                
                    - 48 Image Similarity Using Metric Learning/1 Image Similarity Using Metric Learning.mkv  1006.2 KB
 
                
                    - 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2 Facial Similarity Keras VGGFace.mkv  1001.6 KB
 
                
                    - 24 Generative Adversarial Networks (GANs)/3 Training GANs.mkv  988.5 KB
 
                
                    - 34 Website Region Detector YOLOv4 Darknet/1 Website Region Detector YOLOv4 Darknet.mkv  984.6 KB
 
                
                    - 03 OpenCV - Image Operations/08 Convolutions, Blurring and Sharpening Images.mkv  982.3 KB
 
                
                    - 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/6 Detectron2.mkv  972.3 KB
 
                
                    - 04 OpenCV - Image Segmentation/3 Line, Circle and Blob Detection.mkv  968.8 KB
 
                
                    - 09 OpenCV Projects/07 SSDs in OpenCV.mkv  967.7 KB
 
                
                    - 20 PyTorch Lightning/1 Introduction to PyTorch Lightning.mkv  966.4 KB
 
                
                    - 13 Building CNNs in TensorFlow with Keras/4 Constructing the CNN.mkv  961.7 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/18 Gradient Descent.mkv  959.3 KB
 
                
                    - 14 Assessing Model Performance/6 PyTorch Viewing Misclassifications.mkv  957.1 KB
 
                
                    - 07 OpenCV - Motion and Object Tracking/3 Simple Object Tracking by Color.mkv  956.5 KB
 
                
                    - 12 Building CNNs in PyTorch/1 Importing Required Libraries.mkv  949.4 KB
 
                
                    - 03 OpenCV - Image Operations/02 Grayscaling Images.mkv  945.3 KB
 
                
                    - 21 Transfer Learning and Fine Tuning/1 Transfer Learning Introduction.mkv  944.4 KB
 
                
                    - 09 OpenCV Projects/02 GrabCut Algorithm for Background Removal.mkv  937.8 KB
 
                
                    - 57 Deploy Your CV App Using Flask RestFUL API and Web App/2 Flask Web App.mkv  921.5 KB
 
                
                    - 27 Object Detection/4 Mean Average Precision.mkv  913.4 KB
 
                
                    - 45 Vision Transformers - ViTs/3 Vision Transformers in Keras.mkv  907.7 KB
 
                
                    - 58 OCR Captcha Cracker/1 OCR Captcha Cracker.mkv  907.2 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/19 Optimisers and Learning Rate Schedules.mkv  897.8 KB
 
                
                    - 26 Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1 Face Recognition Overview.mkv  896.1 KB
 
                
                    - 10 OpenCV - Working with Video/2 Opening Video Files in OpenCV.mkv  883.6 KB
 
                
                    - 01 Introduction/4 What Are Images.mkv  874.1 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/12 Putting Together Your Convolutional Neural Network.mkv  870.8 KB
 
                
                    - 06 OpenCV - Image Analysis and Transformation/5 Watershed Algorithm Marker-Dased Image Segmentation.mkv  870.3 KB
 
                
                    - 51 Video Classification with Transformers/1 Video Classification with Transformers.mkv  866.0 KB
 
                
                    - 16 Visualizing What CNN's Learn/2 Visualising Filter Activations.mkv  861.7 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/11 DenseNet.mkv  855.5 KB
 
                
                    - 27 Object Detection/7 Single Shot Detectors (SSDs).mkv  840.3 KB
 
                
                    - 36 Chess Piece YOLOv3/1 Chess Piece YOLOv3.mkv  838.4 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/17 Backpropagation.mkv  832.8 KB
 
                
                    - 06 OpenCV - Image Analysis and Transformation/4 Filtering on Colour.mkv  832.4 KB
 
                
                    - 10 OpenCV - Working with Video/4 Video Streams and CCTV - RTSP and IP.mkv  826.6 KB
 
                
                    - 14 Assessing Model Performance/5 Keras - Confusion Matrix and Classification Report.mkv  826.5 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/03 Feature Detectors.mkv  825.0 KB
 
                
                    - 23 Autoencoders/1 Introduction to Autoencoders.mkv  796.8 KB
 
                
                    - 06 OpenCV - Image Analysis and Transformation/3 Comparing Images MSE and Structual Similarity.mkv  792.6 KB
 
                
                    - 01 Introduction/3 What Makes Computer Vision Hard.mkv  792.3 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/09 Pooling.mkv  791.5 KB
 
                
                    - 13 Building CNNs in TensorFlow with Keras/5 Training the Model.mkv  789.6 KB
 
                
                    - 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/5 EfficientDet.mkv  784.6 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/16 Loss Functions.mkv  773.7 KB
 
                
                    - 25 Siamese Network/1 Introduction to Siamese Networks.mkv  771.8 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/08 InceptionV3.mkv  762.2 KB
 
                
                    - 13 Building CNNs in TensorFlow with Keras/6 Plotting the Training Results.mkv  751.2 KB
 
                
                    - 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/1 Introduction to YOLO.mkv  743.5 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/12 The ImageNet Dataset.mkv  738.5 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/15 Training a CNN.mkv  737.4 KB
 
                
                    - 09 OpenCV Projects/11 Detect Blur in Images.mkv  736.8 KB
 
                
                    - 22 Google DeepStream and Neural Style Transfer/1 Introduction to Google DeepDream Visualizations.mkv  719.2 KB
 
                
                    - 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/4 YOLO Evolution.mkv  717.9 KB
 
                
                    - 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/2 How YOLO Works.mkv  716.8 KB
 
                
                    - 24 Generative Adversarial Networks (GANs)/9 ArcaneGAN.mkv  711.9 KB
 
                
                    - 14 Assessing Model Performance/2 Assessing Model Performance.mkv  699.7 KB
 
                
                    - 16 Visualizing What CNN's Learn/1 Visualizing CNN Filters or Feature Maps.mkv  698.7 KB
 
                
                    - 08 OpenCV - Facial Landmark Detection and Face Swaps/1 Facial Landmark Detection with Dlib.mkv  696.5 KB
 
                
                    - 24 Generative Adversarial Networks (GANs)/1 Introduction to GANs.mkv  695.1 KB
 
                
                    - 10 OpenCV - Working with Video/3 Saving or Recording Videos in OpenCV.mkv  694.2 KB
 
                
                    - 04 OpenCV - Image Segmentation/5 Finding Corners.mkv  687.4 KB
 
                
                    - 10 OpenCV - Working with Video/5 Auto Reconnect to Video Streams.mkv  679.8 KB
 
                
                    - 24 Generative Adversarial Networks (GANs)/8 AnimeGAN.mkv  671.4 KB
 
                
                    - 45 Vision Transformers - ViTs/1 Introduction to Vision Transformers.mkv  668.4 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/10 EfficientNet.mkv  664.8 KB
 
                
                    - 38 Hard Hat Detector EfficentDet/1 Hard Hat Detector EfficentDet.mkv  649.3 KB
 
                
                    - 24 Generative Adversarial Networks (GANs)/2 How Do GANs Work.mkv  643.8 KB
 
                
                    - 42 Body Pose Estimation/1 Body Pose Estimation.mkv  642.5 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/07 Stride.mkv  633.0 KB
 
                
                    - 16 Visualizing What CNN's Learn/5 Class Maximization.mkv  632.9 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/13 Parameter Counts in CNNs.mkv  628.1 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/04 VGG16 and VGG19.mkv  622.5 KB
 
                
                    - 13 Building CNNs in TensorFlow with Keras/3 Preprocessing Our Data.mkv  614.0 KB
 
                
                    - 12 Building CNNs in PyTorch/4 Data Loaders.mkv  613.0 KB
 
                
                    - 28 Modern Object Detectors - YOLO, EfficientDet, Detectron2/3 Training YOLO.mkv  611.8 KB
 
                
                    - 13 Building CNNs in TensorFlow with Keras/1 Loading Data.mkv  611.6 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/08 Activation Functions.mkv  610.7 KB
 
                
                    - 14 Assessing Model Performance/7 PyTorch - Confusion Matrix and Misclassifications.mkv  610.1 KB
 
                
                    - 15 Improving Models and Advanced CNN Design/07 Batch Normalization.mkv  595.6 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/09 SqueezeNet.mkv  595.1 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/01 Introduction to Convolution Neural Networks.mkv  593.8 KB
 
                
                    - 13 Building CNNs in TensorFlow with Keras/2 View and Inspect Data.mkv  585.5 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/05 ResNets.mkv  570.6 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/04 3D Convolutions and Color Images.mkv  562.3 KB
 
                
                    - 12 Building CNNs in PyTorch/9 Plot and Visualize Your Results.mkv  550.4 KB
 
                
                    - 15 Improving Models and Advanced CNN Design/04 L1 and L2 Regularization.mkv  549.5 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/06 Why ResNets Work So Well.mkv  546.7 KB
 
                
                    - 21 Transfer Learning and Fine Tuning/6 PyTorch Transfer Learning and Freezing Network Layers.mkv  543.0 KB
 
                
                    - 19 Using Callbacks in Keras and PyTorch/1 What Are Callbacks.mkv  542.0 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/14 Why CNNs Work So Well on Images.mkv  532.5 KB
 
                
                    - 16 Visualizing What CNN's Learn/4 Maximizing Filters.mkv  530.1 KB
 
                
                    - 15 Improving Models and Advanced CNN Design/05 Data Augmentation.mkv  529.2 KB
 
                
                    - 09 OpenCV Projects/09 Inpainting to Restore Damaged Photos.mkv  526.6 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/05 Kernel Size and Depth.mkv  523.9 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/02 LeNet.mkv  511.8 KB
 
                
                    - 12 Building CNNs in PyTorch/2 Transformation Pipeline.mkv  504.8 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/06 Padding.mkv  463.1 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/03 AlexNet.mkv  450.8 KB
 
                
                    - 25 Siamese Network/2 Training Siamese Networks.mkv  439.6 KB
 
                
                    - 02 Download Code and Setup Colab/2 Setup - Download Code and Configure Colab.mkv  412.1 KB
 
                
                    - 15 Improving Models and Advanced CNN Design/06 Early Stopping.mkv  407.2 KB
 
                
                    - 17 Advamced Convolutional Neural Networks/01 History and Evolution of Convolutional Neural Networks.mkv  395.3 KB
 
                
                    - 16 Visualizing What CNN's Learn/7 Grad-CAM Visualize What Influences Your Model.mkv  384.3 KB
 
                
                    - 15 Improving Models and Advanced CNN Design/03 Drop Out.mkv  382.8 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/10 Fully Connected Layers.mkv  366.3 KB
 
                
                    - 27 Object Detection/3 Intersection Over Union.mkv  362.7 KB
 
                
                    - 18 Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4 The Top-N or Rank-N Accuracy Metric.mkv  350.8 KB
 
                
                    - 27 Object Detection/5 Non Maximum Suppression.mkv  349.0 KB
 
                
                    - 11 Deep Learning in Computer Vision Introduction/11 Softmax.mkv  332.1 KB
 
                
                    - 12 Building CNNs in PyTorch/6 Optimisers and Loss Function.mkv  297.3 KB
 
                
                    - 15 Improving Models and Advanced CNN Design/08 When Do We Use Regularization.mkv  280.0 KB
 
                
                    - 15 Improving Models and Advanced CNN Design/02 Introduction to Regularization.mkv  243.1 KB
 
                
                    - 02 Download Code and Setup Colab/1 Download Course Resources.html  588 bytes
 
                
                    - Readme.txt  108 bytes
 
                
            
        
     
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