12.86 GB | 17min 11s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Course Introduction.mp4 (82.94 MB)
2 -Course Overview.mp4 (63.77 MB)
3 -What Makes Computer Vision Hard.mp4 (46.15 MB)
4 -What are Images.mp4 (44.22 MB)
1 -Using Your Webcam and Creating a Live Sketch of Yourself.mp4 (66.54 MB)
2 -Opening Video Files in OpenCV.mp4 (33.99 MB)
3 -Saving or Recording Videos in OpenCV.mp4 (35.77 MB)
4 -Video Streams and CCTV - RTSP and IP.mp4 (42.09 MB)
5 -Auto Reconnect to Video Streams.mp4 (36.24 MB)
6 -Capturing Video using Screenshots.mp4 (46.3 MB)
7 -Importing YouTube Videos into OpenCV.mp4 (64.89 MB)
1 -Introduction to Convolution Neural Networks.mp4 (15.87 MB)
10 -Fully Connected Layers.mp4 (11.33 MB)
11 -Softmax.mp4 (8.87 MB)
12 -Putting Together Your Convolutional Neural Network.mp4 (29.38 MB)
13 -Parameter Counts in CNNs.mp4 (23.82 MB)
14 -Why CNNs Work So Well On Images.mp4 (20.51 MB)
15 -Training a CNN.mp4 (27.38 MB)
16 -Loss Functions.mp4 (24.89 MB)
17 -Backpropagation.mp4 (28.99 MB)
18 -Gradient Descent.mp4 (32.93 MB)
19 -Optimisers and Learning Rate Schedules.mp4 (40.92 MB)
2 -Convolutions.mp4 (33.85 MB)
20 -Deep Learning CNN Recap.mp4 (36.38 MB)
21 -Deep Learning History.mp4 (57.52 MB)
22 -Deep Learning Libraries Overview.mp4 (59.04 MB)
3 -Feature Detectors.mp4 (23.87 MB)
4 -3D Convolutions and Color Images.mp4 (16.63 MB)
5 -Kernel Size and Depth.mp4 (13.66 MB)
6 -Padding.mp4 (14.17 MB)
7 -Stride.mp4 (17.14 MB)
8 -Activation Functions.mp4 (21.74 MB)
9 -Pooling.mp4 (23.42 MB)
1 -Importing Required Libraries.mp4 (47.72 MB)
2 -Transformation Pipeline.mp4 (29.55 MB)
3 -Inspect and Visualise Data.mp4 (70.58 MB)
4 -Data Loaders.mp4 (29.9 MB)
5 -Building our Model.mp4 (102.34 MB)
6 -Optimisers and Loss Function.mp4 (14.88 MB)
7 -Training Your Model.mp4 (96.07 MB)
8 -Saving Model and Displaying Results.mp4 (49.26 MB)
9 -Plot and Visualize Your Results.mp4 (25.81 MB)
1 -Loading Data.mp4 (26.69 MB)
2 -View and Inspect Data.mp4 (29.51 MB)
3 -Preprocessing Our Data.mp4 (33.53 MB)
4 -Constructing the CNN.mp4 (64.47 MB)
5 -Training the Model.mp4 (45.45 MB)
6 -Plotting the Training Results.mp4 (36.38 MB)
7 -Saving and Loading and Visualising Results.mp4 (75.55 MB)
1 -Deep Learning Libraries PyTorch vs Keras Review.mp4 (68.2 MB)
2 -Assessing Model Performance.mp4 (22.58 MB)
3 -Confusion Matrix and Classification Report.mp4 (67.59 MB)
4 -Keras Viewing Misclassifications.mp4 (64.91 MB)
5 -Keras - Confusion Matrix and Classification Report.mp4 (43.42 MB)
6 -PyTorch Viewing Misclassifications.mp4 (51.36 MB)
7 -PyTorch - Confusion Matrix and Misclassifications.mp4 (29.25 MB)
1 -What is Overfitting and Generalisation.mp4 (44.04 MB)
10 -Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4 (96.01 MB)
11 -Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4 (64.16 MB)
12 -Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4 (108.05 MB)
2 -Introduction to Regularization.mp4 (8.02 MB)
3 -Drop Out.mp4 (13.06 MB)
4 -L1 and L2 Regularization.mp4 (15.62 MB)
5 -Data Augmentation.mp4 (31.9 MB)
6 -Early Stopping.mp4 (12.97 MB)
7 -Batch Normalization.mp4 (23.84 MB)
8 -When Do We Use Regularization.mp4 (11.57 MB)
9 -Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4 (82.69 MB)
1 -Visualizing CNN Filters or Feature Maps.mp4 (20.47 MB)
2 -Visualising Filter Activations.mp4 (35.54 MB)
3 -Keras Filter Visualization and Activations.mp4 (107.23 MB)
4 -Maximizing Filters.mp4 (23.06 MB)
5 -Class Maximization.mp4 (30.13 MB)
6 -Filter and Class Maximization.mp4 (156.06 MB)
7 -Grad-CAM Visualize What Influences Your Model.mp4 (14.91 MB)
8 -Grad-CAM Plus.mp4 (80.37 MB)
1 -Code - Modern Computer Vision 05 06 2022.zip (150.98 MB)
1 -Setup - Download Code and Configure Colab.mp4 (22.57 MB)
1 -History and Evolution of Convolutional Neural Networks.mp4 (9.13 MB)
10 -EfficientNet.mp4 (24.99 MB)
11 -DenseNet.mp4 (32.02 MB)
12 -The ImageNet Dataset.mp4 (29.53 MB)
2 -LeNet.mp4 (18.67 MB)
3 -AlexNet.mp4 (17.53 MB)
4 -VGG16 and VGG19.mp4 (23.05 MB)
5 -ResNets.mp4 (17.8 MB)
6 -Why ResNets Work So Well.mp4 (23.29 MB)
7 -MobileNetV1 and V2.mp4 (43.82 MB)
8 -InceptionV3.mp4 (23.42 MB)
9 -SqueezeNet.mp4 (23.18 MB)
1 -Implementing LeNet and AlexNet in Keras.mp4 (139.34 MB)
2 -Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 (153.77 MB)
3 -Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 (111.38 MB)
4 -The Top-N or Rank-N Accuracy Metric.mp4 (12.42 MB)
5 -Getting the Rank-N Accuracy in PyTorch.mp4 (97.92 MB)
6 -Getting the Rank-N Accuracy in Keras.mp4 (55.85 MB)
1 -What are Callbacks.mp4 (16.18 MB)
2 -Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 (114.98 MB)
3 -Cats vs Dogs Classifier using Callbacks in Keras.mp4 (114.72 MB)
1 -Introduction to PyTorch Lightning.mp4 (38.24 MB)
2 -Lightning Setup and Class.mp4 (62.14 MB)
3 -Auto Batch and Learning Rate Selection plus Tensorboards.mp4 (106.56 MB)
4 -PyTorch Lightning Calls, Saving, Inference.mp4 (71.64 MB)
5 -Training on Multiple GPU, Profiling and TPUs.mp4 (64.15 MB)
1 -Transfer Learning Introduction.mp4 (31.89 MB)
2 -Transfer Learning in PyTorch Lightning.mp4 (55.89 MB)
3 -Transfer Learning and Fine Tuning with Keras.mp4 (96 MB)
4 -Keras Feature Extraction.mp4 (131.8 MB)
5 -PyTorch Fine Tuning.mp4 (121.59 MB)
6 -PyTorch Transfer Learning and Freezing Network Layers.mp4 (28.81 MB)
7 -PyTorch Feature Extraction.mp4 (103.4 MB)
1 -Introduction to Google DeepDream Visualizations.mp4 (39.87 MB)
2 -Google DeepDream in Keras.mp4 (72.85 MB)
3 -Google DeepDream in PyTorch.mp4 (58.32 MB)
4 -Introduction to Neural Style Transfer.mp4 (49.97 MB)
5 -Neural Style Transfer in Keras.mp4 (141.08 MB)
6 -Neural Style Transfer in PyTorch.mp4 (57.9 MB)
1 -Introduction to Autoencoders.mp4 (25.37 MB)
2 -Autoencoders in Keras.mp4 (80.55 MB)
3 -Autoencoders in PyTorch.mp4 (66.04 MB)
1 -Introduction to GANs.mp4 (43.57 MB)
2 -How Do GANs Work.mp4 (26.55 MB)
3 -Training GANs.mp4 (49.27 MB)
4 -Use Cases for GANs.mp4 (108.13 MB)
5 -Keras DCGAN with MNIST.mp4 (100.92 MB)
6 -PyTorch GANs.mp4 (65.41 MB)
7 -Super Resolution GAN.mp4 (102.24 MB)
8 -AnimeGAN.mp4 (34.77 MB)
9 -ArcaneGAN.mp4 (31.55 MB)
1 -Introduction to Siamese Networks.mp4 (28.8 MB)
2 -Training Siamese Networks.mp4 (13.34 MB)
3 -Siamese Networks in Keras.mp4 (73.01 MB)
4 -Siamese Networks in PyTorch.mp4 (67.92 MB)
1 -Face Recognition Overview.mp4 (32.03 MB)
2 -Facial Similarity Keras VGGFace.mp4 (56.62 MB)
3 -Face Recognition Keras One Shot Learning and Friends.mp4 (80.6 MB)
4 -Face Recognition PyTorch FaceNet.mp4 (51.29 MB)
5 -DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 (132.35 MB)
1 -Getting Started with OpenCV4.mp4 (94.73 MB)
10 -Dilation, Erosion and Edge Detection.mp4 (79.96 MB)
2 -Grayscaling Images.mp4 (52.52 MB)
3 -Colour Spaces - RGB and HSV.mp4 (68.29 MB)
4 -Drawing on Images.mp4 (52.03 MB)
5 -Transformations - Translations and Rotations.mp4 (67.22 MB)
6 -Scaling, Re-sizing, Interpolations and Cropping.mp4 (114.94 MB)
7 -Arithmetic and Bitwise Operations.mp4 (66.14 MB)
8 -Convolutions, Blurring and Sharpening Images.mp4 (58.96 MB)
9 -Thresholding, Binarization & Adaptive Thresholding.mp4 (117.17 MB)
1 -Object Detection.mp4 (65.25 MB)
2 -History of Object Detectors.mp4 (52.87 MB)
3 -Intersection Over Union.mp4 (17.44 MB)
4 -Mean Average Precision.mp4 (45.71 MB)
5 -Non Maximum Suppression.mp4 (19.55 MB)
6 -R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4 (41.2 MB)
7 -Single Shot Detectors (SSDs).mp4 (30.93 MB)
1 -Introduction to YOLO.mp4 (33.48 MB)
2 -How YOLO Works.mp4 (29.31 MB)
3 -Training YOLO.mp4 (25.03 MB)
4 -YOLO Evolution.mp4 (24.18 MB)
5 -EfficientDet.mp4 (30.74 MB)
6 -Detectron2.mp4 (40.59 MB)
1 -Gun Detector - Scaled-YoloV4.mp4 (128.47 MB)
1 -Mask Detector TFODAPI MobileNetV2 SSD.mp4 (81.18 MB)
1 -Sign Language Detector TFODAPI EfficentDet.mp4 (85.17 MB)
1 -Pothole Detector - TinyYOLOv4.mp4 (59.49 MB)
1 -Mushroom Detector Detectron2.mp4 (64.96 MB)
1 -Website Region Detector YOLOv4 Darknet.mp4 (49.62 MB)
1 -Drone Maritime Detector R-CNN.mp4 (56.86 MB)
1 -Chess Piece YOLOv3.mp4 (42.66 MB)
1 -Contours - Drawing, Hierarchy and Modes.mp4 (117.11 MB)
2 -Moments, Sorting, Approximating and Matching Contours.mp4 (139.77 MB)
3 -Line, Circle and Blob Detection.mp4 (56.57 MB)
4 -Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4 (68.5 MB)
5 -Finding Corners.mp4 (36.53 MB)
1 -Bloodcell Detector YOLOv5.mp4 (58.54 MB)
1 -Hard Hat Detector EfficentDet.mp4 (30.59 MB)
1 -Bloodcell Detector YOLOv5.mp4 (58.5 MB)
1 -Plant Doctor Detector YOLOv5.mp4 (71.12 MB)
1 -Introduction to Deep Segmentation.mp4 (78.16 MB)
2 -Image Segmentation Keras UNET SegNet.mp4 (73.05 MB)
3 -PyTorch DeepLabV3.mp4 (60.15 MB)
4 -Mask-RCNN Tensorflow Matterport.mp4 (61.72 MB)
5 -Detectron2 Mask R-CNN.mp4 (70.89 MB)
6 -Train Mask R-CNN Shapes Dataset.mp4 (54.97 MB)
1 -Body Pose Estimation.mp4 (46.21 MB)
1 -DeepSORT Introduction.mp4 (59.56 MB)
2 -DeepSORT with YOLOv5.mp4 (58.34 MB)
1 -Creating a Deep Fake.mp4 (58.67 MB)
1 -Introduction to Vision Transformers.mp4 (26.74 MB)
2 -Vision Transformer in Detail with PyTorch.mp4 (76.24 MB)
3 -Vision Transformers in Keras.mp4 (47.99 MB)
1 -Face and Eye Detection with Haar Cascade Classifiers.mp4 (110.21 MB)
2 -Vehicle and Pedestrian Detection.mp4 (86.09 MB)
1 -BiT BigTransfer Classifier Keras.mp4 (58.61 MB)
1 -Depth Estimation Project.mp4 (76.76 MB)
1 -Image Similarity using Metric Learning.mp4 (56 MB)
1 -Image Captioning with Keras.mp4 (96.09 MB)
1 -Video Classification usign CNN+RNN.mp4 (56.76 MB)
1 -Video Classification with Transformers.mp4 (49.24 MB)
1 -Point Cloud Classification PointNet.mp4 (59.52 MB)
1 -Point Cloud Segmentation Using PointNet.mp4 (92.04 MB)
1 -Perspective Transforms.mp4 (64.41 MB)
2 -Histograms and K-Means Clustering for Dominant Colors.mp4 (79.88 MB)
3 -Comparing Images MSE and Structual Similarity.mp4 (42.09 MB)
4 -Filtering on Colour.mp4 (40.87 MB)
5 -Watershed Algorithm Marker-Dased Image Segmentation.mp4 (43.33 MB)
6 -Background and Foreground Subtraction.mp4 (66.11 MB)
1 -X-Ray Pneumonia Prediction.mp4 (61.41 MB)
1 -3D CT Scan Classification.mp4 (60.32 MB)
1 -Low Light Image Enhancement MIRNet.mp4 (91.55 MB)
1 -Flask RestFUL API.mp4 (54.94 MB)
2 -Flask Web App.mp4 (37.25 MB)
1 -OCR Captcha Cracker.mp4 (46.38 MB)
1 -Google Colab - Intro.mp4 (15.32 MB)
2 -Google Colab - Intro Part 2.mp4 (21.73 MB)
3 -Using Dark Mode and other features.mp4 (17.14 MB)
1 -Motion Tracking with Mean Shift and CAMSHIFT.mp4 (71.05 MB)
2 -Object Tracking with Optical Flow.mp4 (95.15 MB)
3 -Simple Object Tracking by Color.mp4 (48.62 MB)
1 -Facial Landmark Detection with Dlib.mp4 (37.54 MB)
2 -Face Swapping with Dlib.mp4 (49.39 MB)
1 -Tilt Shift Effects.mp4 (59.02 MB)
10 -Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4 (88.97 MB)
11 -Detect Blur in Images.mp4 (39.57 MB)
12 -Facial Recognition.mp4 (84.31 MB)
2 -GrabCut Algorithm for Background Removal.mp4 (45.64 MB)
3 -OCR with PyTesseract and EasyOCR (Text Detection).mp4 (119.5 MB)
4 -Barcode, QR Generation and Reading.mp4 (68.68 MB)
5 -YOLOv3 in OpenCV.mp4 (79.52 MB)
6 -Neural Style Transfer with OpenCV.mp4 (143.02 MB)
7 -SSDs in OpenCV.mp4 (51.82 MB)
8 -Colorize Black and White Photos using a Caffe Model in OpenCV.mp4 (80.98 MB)
9 -Inpainting to Restore Damaged Photos.mp4 (28.47 MB)]
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