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| 1.1 Code - Modern Computer Vision_05_06_2022.zip |
150.98Мб |
| 1.1 Slides - Generative Adverserial Networks.pdf |
28.91Мб |
| 1.2 ebook slides - Modern Computer Vision.pdf |
121.57Мб |
| 1. 3D CT Scan Classification.mp4 |
60.32Мб |
| 1. 3D CT Scan Classification.srt |
7.87Кб |
| 1. BiT BigTransfer Classifier Keras.mp4 |
58.62Мб |
| 1. BiT BigTransfer Classifier Keras.srt |
9.21Кб |
| 1. Bloodcell Detector YOLOv5.mp4 |
58.54Мб |
| 1. Bloodcell Detector YOLOv5.srt |
6.65Кб |
| 1. Body Pose Estimation.mp4 |
46.21Мб |
| 1. Body Pose Estimation.srt |
4.54Кб |
| 1. Chess Piece YOLOv3.mp4 |
42.66Мб |
| 1. Chess Piece YOLOv3.srt |
7.02Кб |
| 1. Contours - Drawing, Hierarchy and Modes.mp4 |
117.12Мб |
| 1. Contours - Drawing, Hierarchy and Modes.srt |
20.42Кб |
| 1. Course Introduction.mp4 |
82.94Мб |
| 1. Course Introduction.srt |
17.21Кб |
| 1. Creating a Deep Fake.mp4 |
58.67Мб |
| 1. Creating a Deep Fake.srt |
7.49Кб |
| 1. Deep Learning Libraries PyTorch vs Keras Review.mp4 |
68.20Мб |
| 1. Deep Learning Libraries PyTorch vs Keras Review.srt |
19.06Кб |
| 1. DeepSORT Introduction.mp4 |
59.56Мб |
| 1. DeepSORT Introduction.srt |
12.36Кб |
| 1. Depth Estimation Project.mp4 |
76.77Мб |
| 1. Depth Estimation Project.srt |
10.70Кб |
| 1. Download Course Resources.html |
804б |
| 1. Drone Maritime Detector R-CNN.mp4 |
56.86Мб |
| 1. Drone Maritime Detector R-CNN.srt |
7.55Кб |
| 1. Face and Eye Detection with Haar Cascade Classifiers.mp4 |
110.22Мб |
| 1. Face and Eye Detection with Haar Cascade Classifiers.srt |
17.79Кб |
| 1. Face Recognition Overview.mp4 |
32.03Мб |
| 1. Face Recognition Overview.srt |
10.51Кб |
| 1. Facial Landmark Detection with Dlib.mp4 |
37.54Мб |
| 1. Facial Landmark Detection with Dlib.srt |
8.20Кб |
| 1. Flask RestFUL API.mp4 |
54.94Мб |
| 1. Flask RestFUL API.srt |
9.99Кб |
| 1. Getting Started with OpenCV4.mp4 |
94.74Мб |
| 1. Getting Started with OpenCV4.srt |
23.03Кб |
| 1. Gun Detector - Scaled-YoloV4.mp4 |
128.47Мб |
| 1. Gun Detector - Scaled-YoloV4.srt |
17.73Кб |
| 1. Hard Hat Detector EfficentDet.mp4 |
30.60Мб |
| 1. Hard Hat Detector EfficentDet.srt |
5.30Кб |
| 1. History and Evolution of Convolutional Neural Networks.mp4 |
9.13Мб |
| 1. History and Evolution of Convolutional Neural Networks.srt |
5.57Кб |
| 1. Image Captioning with Keras.mp4 |
96.09Мб |
| 1. Image Captioning with Keras.srt |
14.09Кб |
| 1. Image Similarity using Metric Learning.mp4 |
56.01Мб |
| 1. Image Similarity using Metric Learning.srt |
7.88Кб |
| 1. Implementing LeNet and AlexNet in Keras.mp4 |
139.34Мб |
| 1. Implementing LeNet and AlexNet in Keras.srt |
23.21Кб |
| 1. Importing Required Libraries.mp4 |
47.72Мб |
| 1. Importing Required Libraries.srt |
10.42Кб |
| 1. Introduction to Autoencoders.mp4 |
25.37Мб |
| 1. Introduction to Autoencoders.srt |
10.46Кб |
| 1. Introduction to Convolution Neural Networks.mp4 |
15.87Мб |
| 1. Introduction to Convolution Neural Networks.srt |
7.76Кб |
| 1. Introduction to Deep Segmentation.mp4 |
78.17Мб |
| 1. Introduction to Deep Segmentation.srt |
16.66Кб |
| 1. Introduction to GANs.mp4 |
43.57Мб |
| 1. Introduction to GANs.srt |
6.55Кб |
| 1. Introduction to Google DeepDream Visualizations.mp4 |
39.87Мб |
| 1. Introduction to Google DeepDream Visualizations.srt |
7.33Кб |
| 1. Introduction to PyTorch Lightning.mp4 |
38.24Мб |
| 1. Introduction to PyTorch Lightning.srt |
12.06Кб |
| 1. Introduction to Siamese Networks.mp4 |
28.80Мб |
| 1. Introduction to Siamese Networks.srt |
8.72Кб |
| 1. Introduction to Vision Transformers.mp4 |
26.74Мб |
| 1. Introduction to Vision Transformers.srt |
7.47Кб |
| 1. Introduction to YOLO.mp4 |
33.48Мб |
| 1. Introduction to YOLO.srt |
8.51Кб |
| 1. Loading Data.mp4 |
26.69Мб |
| 1. Loading Data.srt |
5.16Кб |
| 1. Low Light Image Enhancement MIRNet.mp4 |
91.55Мб |
| 1. Low Light Image Enhancement MIRNet.srt |
10.62Кб |
| 1. Mask Detector TFODAPI MobileNetV2_SSD.mp4 |
81.18Мб |
| 1. Mask Detector TFODAPI MobileNetV2_SSD.srt |
11.11Кб |
| 1. Motion Tracking with Mean Shift and CAMSHIFT.mp4 |
71.05Мб |
| 1. Motion Tracking with Mean Shift and CAMSHIFT.srt |
10.59Кб |
| 1. Mushroom Detector Detectron2.mp4 |
64.96Мб |
| 1. Mushroom Detector Detectron2.srt |
7.33Кб |
| 1. Object Detection.mp4 |
65.25Мб |
| 1. Object Detection.srt |
13.10Кб |
| 1. OCR Captcha Cracker.mp4 |
46.38Мб |
| 1. OCR Captcha Cracker.srt |
7.67Кб |
| 1. Perspective Transforms.mp4 |
64.42Мб |
| 1. Perspective Transforms.srt |
12.70Кб |
| 1. Plant Doctor Detector YOLOv5.mp4 |
71.12Мб |
| 1. Plant Doctor Detector YOLOv5.srt |
9.31Кб |
| 1. Point Cloud Classification PointNet.mp4 |
59.53Мб |
| 1. Point Cloud Classification PointNet.srt |
8.31Кб |
| 1. Point Cloud Segmentation Using PointNet.mp4 |
92.05Мб |
| 1. Point Cloud Segmentation Using PointNet.srt |
13.15Кб |
| 1. Pothole Detector - TinyYOLOv4.mp4 |
59.49Мб |
| 1. Pothole Detector - TinyYOLOv4.srt |
7.73Кб |
| 1. Sign Language Detector TFODAPI EfficentDet.mp4 |
85.17Мб |
| 1. Sign Language Detector TFODAPI EfficentDet.srt |
10.56Кб |
| 1. Tilt Shift Effects.mp4 |
59.03Мб |
| 1. Tilt Shift Effects.srt |
8.70Кб |
| 1. Transfer Learning Introduction.mp4 |
31.89Мб |
| 1. Transfer Learning Introduction.srt |
12.67Кб |
| 1. Using Your Webcam and Creating a Live Sketch of Yourself.mp4 |
66.54Мб |
| 1. Using Your Webcam and Creating a Live Sketch of Yourself.srt |
11.54Кб |
| 1. Video Classification usign CNN+RNN.mp4 |
56.76Мб |
| 1. Video Classification usign CNN+RNN.srt |
7.81Кб |
| 1. Video Classification with Transformers.mp4 |
49.24Мб |
| 1. Video Classification with Transformers.srt |
6.48Кб |
| 1. Visualizing CNN Filters or Feature Maps.mp4 |
20.47Мб |
| 1. Visualizing CNN Filters or Feature Maps.srt |
8.44Кб |
| 1. Website Region Detector YOLOv4 Darknet.mp4 |
49.63Мб |
| 1. Website Region Detector YOLOv4 Darknet.srt |
6.70Кб |
| 1. What are Callbacks.mp4 |
16.18Мб |
| 1. What are Callbacks.srt |
7.01Кб |
| 1. What is Overfitting and Generalisation.mp4 |
44.04Мб |
| 1. What is Overfitting and Generalisation.srt |
13.03Кб |
| 1. X-Ray Pneumonia Prediction.mp4 |
61.41Мб |
| 1. X-Ray Pneumonia Prediction.srt |
8.25Кб |
| 10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4 |
88.97Мб |
| 10. Add and Remove Noise and Fix Contrast with Histogram Equalization.srt |
13.78Кб |
| 10. Dilation, Erosion and Edge Detection.mp4 |
79.96Мб |
| 10. Dilation, Erosion and Edge Detection.srt |
14.42Кб |
| 10. EfficientNet.mp4 |
24.99Мб |
| 10. EfficientNet.srt |
7.88Кб |
| 10. Fully Connected Layers.mp4 |
11.33Мб |
| 10. Fully Connected Layers.srt |
4.18Кб |
| 10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4 |
96.01Мб |
| 10. Training a Fashion Classifider (FNIST) with Regularization using Keras.srt |
17.26Кб |
| 11. DenseNet.mp4 |
32.02Мб |
| 11. DenseNet.srt |
10.41Кб |
| 11. Detect Blur in Images.mp4 |
39.57Мб |
| 11. Detect Blur in Images.srt |
7.51Кб |
| 11. Softmax.mp4 |
8.88Мб |
| 11. Softmax.srt |
3.94Кб |
| 11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4 |
64.16Мб |
| 11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.srt |
10.58Кб |
| 12. Facial Recognition.mp4 |
84.31Мб |
| 12. Facial Recognition.srt |
14.45Кб |
| 12. Putting Together Your Convolutional Neural Network.mp4 |
29.38Мб |
| 12. Putting Together Your Convolutional Neural Network.srt |
11.26Кб |
| 12. The ImageNet Dataset.mp4 |
29.53Мб |
| 12. The ImageNet Dataset.srt |
7.74Кб |
| 12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4 |
108.05Мб |
| 12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.srt |
17.98Кб |
| 13. Parameter Counts in CNNs.mp4 |
23.83Мб |
| 13. Parameter Counts in CNNs.srt |
8.17Кб |
| 14. Why CNNs Work So Well On Images.mp4 |
20.51Мб |
| 14. Why CNNs Work So Well On Images.srt |
6.33Кб |
| 15. Training a CNN.mp4 |
27.38Мб |
| 15. Training a CNN.srt |
9.58Кб |
| 16. Loss Functions.mp4 |
24.89Мб |
| 16. Loss Functions.srt |
9.83Кб |
| 17. Backpropagation.mp4 |
29.00Мб |
| 17. Backpropagation.srt |
8.81Кб |
| 18. Gradient Descent.mp4 |
32.94Мб |
| 18. Gradient Descent.srt |
11.54Кб |
| 19. Optimisers and Learning Rate Schedules.mp4 |
40.92Мб |
| 19. Optimisers and Learning Rate Schedules.srt |
10.09Кб |
| 2. Assessing Model Performance.mp4 |
22.58Мб |
| 2. Assessing Model Performance.srt |
8.66Кб |
| 2. Autoencoders in Keras.mp4 |
80.55Мб |
| 2. Autoencoders in Keras.srt |
13.70Кб |
| 2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 |
114.98Мб |
| 2. Cats vs Dogs Classifier using Callbacks in PyTorch.srt |
22.81Кб |
| 2. Convolutions.mp4 |
33.85Мб |
| 2. Convolutions.srt |
13.01Кб |
| 2. Course Overview.mp4 |
63.77Мб |
| 2. Course Overview.srt |
16.17Кб |
| 2. DeepSORT with YOLOv5.mp4 |
58.34Мб |
| 2. DeepSORT with YOLOv5.srt |
5.57Кб |
| 2. Face Swapping with Dlib.mp4 |
49.40Мб |
| 2. Face Swapping with Dlib.srt |
8.06Кб |
| 2. Facial Similarity Keras VGGFace.mp4 |
56.62Мб |
| 2. Facial Similarity Keras VGGFace.srt |
9.19Кб |
| 2. Flask Web App.mp4 |
37.26Мб |
| 2. Flask Web App.srt |
6.09Кб |
| 2. Google DeepDream in Keras.mp4 |
72.85Мб |
| 2. Google DeepDream in Keras.srt |
10.55Кб |
| 2. GrabCut Algorithm for Background Removal.mp4 |
45.65Мб |
| 2. GrabCut Algorithm for Background Removal.srt |
9.22Кб |
| 2. Grayscaling Images.mp4 |
52.52Мб |
| 2. Grayscaling Images.srt |
9.42Кб |
| 2. Histograms and K-Means Clustering for Dominant Colors.mp4 |
79.89Мб |
| 2. Histograms and K-Means Clustering for Dominant Colors.srt |
15.67Кб |
| 2. History of Object Detectors.mp4 |
52.87Мб |
| 2. History of Object Detectors.srt |
12.12Кб |
| 2. How Do GANs Work.mp4 |
26.55Мб |
| 2. How Do GANs Work.srt |
7.25Кб |
| 2. How YOLO Works.mp4 |
29.31Мб |
| 2. How YOLO Works.srt |
6.42Кб |
| 2. Image Segmentation Keras UNET SegNet.mp4 |
73.05Мб |
| 2. Image Segmentation Keras UNET SegNet.srt |
11.28Кб |
| 2. Introduction to Regularization.mp4 |
8.02Мб |
| 2. Introduction to Regularization.srt |
2.82Кб |
| 2. LeNet.mp4 |
18.67Мб |
| 2. LeNet.srt |
4.51Кб |
| 2. Lightning Setup and Class.mp4 |
62.15Мб |
| 2. Lightning Setup and Class.srt |
9.53Кб |
| 2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 |
153.77Мб |
| 2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).srt |
28.90Кб |
| 2. Moments, Sorting, Approximating and Matching Contours.mp4 |
139.77Мб |
| 2. Moments, Sorting, Approximating and Matching Contours.srt |
24.83Кб |
| 2. Object Tracking with Optical Flow.mp4 |
95.15Мб |
| 2. Object Tracking with Optical Flow.srt |
15.50Кб |
| 2. Opening Video Files in OpenCV.mp4 |
33.99Мб |
| 2. Opening Video Files in OpenCV.srt |
6.69Кб |
| 2. Setup - Download Code and Configure Colab.mp4 |
22.57Мб |
| 2. Setup - Download Code and Configure Colab.srt |
4.19Кб |
| 2. Training Siamese Networks.mp4 |
13.34Мб |
| 2. Training Siamese Networks.srt |
4.83Кб |
| 2. Transfer Learning in PyTorch Lightning.mp4 |
55.89Мб |
| 2. Transfer Learning in PyTorch Lightning.srt |
9.69Кб |
| 2. Transformation Pipeline.mp4 |
29.55Мб |
| 2. Transformation Pipeline.srt |
6.37Кб |
| 2. Vehicle and Pedestrian Detection.mp4 |
86.09Мб |
| 2. Vehicle and Pedestrian Detection.srt |
14.66Кб |
| 2. View and Inspect Data.mp4 |
29.51Мб |
| 2. View and Inspect Data.srt |
6.49Кб |
| 2. Vision Transformer in Detail with PyTorch.mp4 |
76.24Мб |
| 2. Vision Transformer in Detail with PyTorch.srt |
12.11Кб |
| 2. Visualising Filter Activations.mp4 |
35.54Мб |
| 2. Visualising Filter Activations.srt |
11.56Кб |
| 20. Deep Learning CNN Recap.mp4 |
36.39Мб |
| 20. Deep Learning CNN Recap.srt |
14.30Кб |
| 21. Deep Learning History.mp4 |
57.52Мб |
| 21. Deep Learning History.srt |
20.01Кб |
| 22. Deep Learning Libraries Overview.mp4 |
59.04Мб |
| 22. Deep Learning Libraries Overview.srt |
15.92Кб |
| 3. AlexNet.mp4 |
17.53Мб |
| 3. AlexNet.srt |
5.91Кб |
| 3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4 |
106.56Мб |
| 3. Auto Batch and Learning Rate Selection plus Tensorboards.srt |
17.08Кб |
| 3. Autoencoders in PyTorch.mp4 |
66.04Мб |
| 3. Autoencoders in PyTorch.srt |
11.23Кб |
| 3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 |
114.72Мб |
| 3. Cats vs Dogs Classifier using Callbacks in Keras.srt |
22.26Кб |
| 3. Colour Spaces - RGB and HSV.mp4 |
68.30Мб |
| 3. Colour Spaces - RGB and HSV.srt |
12.22Кб |
| 3. Comparing Images MSE and Structual Similarity.mp4 |
42.10Мб |
| 3. Comparing Images MSE and Structual Similarity.srt |
8.36Кб |
| 3. Confusion Matrix and Classification Report.mp4 |
67.59Мб |
| 3. Confusion Matrix and Classification Report.srt |
20.39Кб |
| 3. Drop Out.mp4 |
13.06Мб |
| 3. Drop Out.srt |
4.82Кб |
| 3. Face Recognition Keras One Shot Learning and Friends.mp4 |
80.60Мб |
| 3. Face Recognition Keras One Shot Learning and Friends.srt |
11.06Кб |
| 3. Feature Detectors.mp4 |
23.87Мб |
| 3. Feature Detectors.srt |
6.46Кб |
| 3. Google DeepDream in PyTorch.mp4 |
58.32Мб |
| 3. Google DeepDream in PyTorch.srt |
6.32Кб |
| 3. Inspect and Visualise Data.mp4 |
70.58Мб |
| 3. Inspect and Visualise Data.srt |
12.56Кб |
| 3. Intersection Over Union.mp4 |
17.44Мб |
| 3. Intersection Over Union.srt |
4.26Кб |
| 3. Keras Filter Visualization and Activations.mp4 |
107.23Мб |
| 3. Keras Filter Visualization and Activations.srt |
22.03Кб |
| 3. Line, Circle and Blob Detection.mp4 |
56.57Мб |
| 3. Line, Circle and Blob Detection.srt |
8.94Кб |
| 3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 |
111.38Мб |
| 3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt |
19.51Кб |
| 3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 |
119.50Мб |
| 3. OCR with PyTesseract and EasyOCR (Text Detection).srt |
18.89Кб |
| 3. Preprocessing Our Data.mp4 |
33.53Мб |
| 3. Preprocessing Our Data.srt |
7.57Кб |
| 3. PyTorch DeepLabV3.mp4 |
60.15Мб |
| 3. PyTorch DeepLabV3.srt |
8.02Кб |
| 3. Saving or Recording Videos in OpenCV.mp4 |
35.77Мб |
| 3. Saving or Recording Videos in OpenCV.srt |
4.75Кб |
| 3. Siamese Networks in Keras.mp4 |
73.01Мб |
| 3. Siamese Networks in Keras.srt |
12.80Кб |
| 3. Simple Object Tracking by Color.mp4 |
48.62Мб |
| 3. Simple Object Tracking by Color.srt |
7.61Кб |
| 3. Training GANs.mp4 |
49.27Мб |
| 3. Training GANs.srt |
10.96Кб |
| 3. Training YOLO.mp4 |
25.03Мб |
| 3. Training YOLO.srt |
6.54Кб |
| 3. Transfer Learning and Fine Tuning with Keras.mp4 |
96.00Мб |
| 3. Transfer Learning and Fine Tuning with Keras.srt |
17.16Кб |
| 3. Vision Transformers in Keras.mp4 |
47.99Мб |
| 3. Vision Transformers in Keras.srt |
7.53Кб |
| 3. What Makes Computer Vision Hard.mp4 |
46.16Мб |
| 3. What Makes Computer Vision Hard.srt |
9.39Кб |
| 4. 3D Convolutions and Color Images.mp4 |
16.63Мб |
| 4. 3D Convolutions and Color Images.srt |
6.68Кб |
| 4. Barcode, QR Generation and Reading.mp4 |
68.68Мб |
| 4. Barcode, QR Generation and Reading.srt |
13.13Кб |
| 4. Constructing the CNN.mp4 |
64.47Мб |
| 4. Constructing the CNN.srt |
9.87Кб |
| 4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4 |
68.51Мб |
| 4. Counting Circles, Ellipses and Finding Waldo with Template Matching.srt |
9.27Кб |
| 4. Data Loaders.mp4 |
29.90Мб |
| 4. Data Loaders.srt |
6.99Кб |
| 4. Drawing on Images.mp4 |
52.03Мб |
| 4. Drawing on Images.srt |
14.45Кб |
| 4. Face Recognition PyTorch FaceNet.mp4 |
51.29Мб |
| 4. Face Recognition PyTorch FaceNet.srt |
7.92Кб |
| 4. Filtering on Colour.mp4 |
40.87Мб |
| 4. Filtering on Colour.srt |
8.38Кб |
| 4. Introduction to Neural Style Transfer.mp4 |
49.97Мб |
| 4. Introduction to Neural Style Transfer.srt |
14.54Кб |
| 4. Keras Feature Extraction.mp4 |
131.81Мб |
| 4. Keras Feature Extraction.srt |
19.46Кб |
| 4. Keras Viewing Misclassifications.mp4 |
64.91Мб |
| 4. Keras Viewing Misclassifications.srt |
11.41Кб |
| 4. L1 and L2 Regularization.mp4 |
15.62Мб |
| 4. L1 and L2 Regularization.srt |
5.73Кб |
| 4. Mask-RCNN Tensorflow Matterport.mp4 |
61.72Мб |
| 4. Mask-RCNN Tensorflow Matterport.srt |
6.48Кб |
| 4. Maximizing Filters.mp4 |
23.06Мб |
| 4. Maximizing Filters.srt |
6.63Кб |
| 4. Mean Average Precision.mp4 |
45.71Мб |
| 4. Mean Average Precision.srt |
11.69Кб |
| 4. PyTorch Lightning Calls, Saving, Inference.mp4 |
71.64Мб |
| 4. PyTorch Lightning Calls, Saving, Inference.srt |
12.96Кб |
| 4. Siamese Networks in PyTorch.mp4 |
67.92Мб |
| 4. Siamese Networks in PyTorch.srt |
9.76Кб |
| 4. The Top-N or Rank-N Accuracy Metric.mp4 |
12.42Мб |
| 4. The Top-N or Rank-N Accuracy Metric.srt |
4.56Кб |
| 4. Use Cases for GANs.mp4 |
108.13Мб |
| 4. Use Cases for GANs.srt |
13.39Кб |
| 4. VGG16 and VGG19.mp4 |
23.05Мб |
| 4. VGG16 and VGG19.srt |
7.03Кб |
| 4. Video Streams and CCTV - RTSP and IP.mp4 |
42.09Мб |
| 4. Video Streams and CCTV - RTSP and IP.srt |
6.45Кб |
| 4. What are Images.mp4 |
44.22Мб |
| 4. What are Images.srt |
10.71Кб |
| 4. YOLO Evolution.mp4 |
24.18Мб |
| 4. YOLO Evolution.srt |
7.87Кб |
| 5. Auto Reconnect to Video Streams.mp4 |
36.24Мб |
| 5. Auto Reconnect to Video Streams.srt |
4.39Кб |
| 5. Building our Model.mp4 |
102.34Мб |
| 5. Building our Model.srt |
18.37Кб |
| 5. Class Maximization.mp4 |
30.13Мб |
| 5. Class Maximization.srt |
7.61Кб |
| 5. Data Augmentation.mp4 |
31.90Мб |
| 5. Data Augmentation.srt |
6.55Кб |
| 5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 |
132.36Мб |
| 5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt |
20.04Кб |
| 5. Detectron2 Mask R-CNN.mp4 |
70.89Мб |
| 5. Detectron2 Mask R-CNN.srt |
7.27Кб |
| 5. EfficientDet.mp4 |
30.74Мб |
| 5. EfficientDet.srt |
8.22Кб |
| 5. Finding Corners.mp4 |
36.53Мб |
| 5. Finding Corners.srt |
6.54Кб |
| 5. Getting the Rank-N Accuracy in PyTorch.mp4 |
97.92Мб |
| 5. Getting the Rank-N Accuracy in PyTorch.srt |
16.38Кб |
| 5. Keras - Confusion Matrix and Classification Report.mp4 |
43.42Мб |
| 5. Keras - Confusion Matrix and Classification Report.srt |
8.87Кб |
| 5. Keras DCGAN with MNIST.mp4 |
100.92Мб |
| 5. Keras DCGAN with MNIST.srt |
16.41Кб |
| 5. Kernel Size and Depth.mp4 |
13.67Мб |
| 5. Kernel Size and Depth.srt |
5.92Кб |
| 5. Neural Style Transfer in Keras.mp4 |
141.08Мб |
| 5. Neural Style Transfer in Keras.srt |
22.30Кб |
| 5. Non Maximum Suppression.mp4 |
19.55Мб |
| 5. Non Maximum Suppression.srt |
4.39Кб |
| 5. PyTorch Fine Tuning.mp4 |
121.59Мб |
| 5. PyTorch Fine Tuning.srt |
21.73Кб |
| 5. ResNets.mp4 |
17.80Мб |
| 5. ResNets.srt |
7.04Кб |
| 5. Training on Multiple GPU, Profiling and TPUs.mp4 |
64.15Мб |
| 5. Training on Multiple GPU, Profiling and TPUs.srt |
9.94Кб |
| 5. Training the Model.mp4 |
45.45Мб |
| 5. Training the Model.srt |
6.31Кб |
| 5. Transformations - Translations and Rotations.mp4 |
67.22Мб |
| 5. Transformations - Translations and Rotations.srt |
13.97Кб |
| 5. Watershed Algorithm Marker-Dased Image Segmentation.mp4 |
43.33Мб |
| 5. Watershed Algorithm Marker-Dased Image Segmentation.srt |
8.22Кб |
| 5. YOLOv3 in OpenCV.mp4 |
79.52Мб |
| 5. YOLOv3 in OpenCV.srt |
12.48Кб |
| 6. Background and Foreground Subtraction.mp4 |
66.11Мб |
| 6. Background and Foreground Subtraction.srt |
11.19Кб |
| 6. Capturing Video using Screenshots.mp4 |
46.30Мб |
| 6. Capturing Video using Screenshots.srt |
7.17Кб |
| 6. Detectron2.mp4 |
40.59Мб |
| 6. Detectron2.srt |
9.78Кб |
| 6. Early Stopping.mp4 |
12.98Мб |
| 6. Early Stopping.srt |
5.11Кб |
| 6. Filter and Class Maximization.mp4 |
156.06Мб |
| 6. Filter and Class Maximization.srt |
24.83Кб |
| 6. Getting the Rank-N Accuracy in Keras.mp4 |
55.85Мб |
| 6. Getting the Rank-N Accuracy in Keras.srt |
9.75Кб |
| 6. Neural Style Transfer in PyTorch.mp4 |
57.90Мб |
| 6. Neural Style Transfer in PyTorch.srt |
7.57Кб |
| 6. Neural Style Transfer with OpenCV.mp4 |
143.03Мб |
| 6. Neural Style Transfer with OpenCV.srt |
16.82Кб |
| 6. Optimisers and Loss Function.mp4 |
14.88Мб |
| 6. Optimisers and Loss Function.srt |
3.24Кб |
| 6. Padding.mp4 |
14.17Мб |
| 6. Padding.srt |
5.57Кб |
| 6. Plotting the Training Results.mp4 |
36.39Мб |
| 6. Plotting the Training Results.srt |
6.16Кб |
| 6. PyTorch GANs.mp4 |
65.41Мб |
| 6. PyTorch GANs.srt |
11.38Кб |
| 6. PyTorch Transfer Learning and Freezing Network Layers.mp4 |
28.81Мб |
| 6. PyTorch Transfer Learning and Freezing Network Layers.srt |
5.23Кб |
| 6. PyTorch Viewing Misclassifications.mp4 |
51.37Мб |
| 6. PyTorch Viewing Misclassifications.srt |
9.87Кб |
| 6. R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4 |
41.20Мб |
| 6. R-CNNs, Fast R-CNNs and Faster R-CNNs.srt |
11.22Кб |
| 6. Scaling, Re-sizing, Interpolations and Cropping.mp4 |
114.94Мб |
| 6. Scaling, Re-sizing, Interpolations and Cropping.srt |
18.99Кб |
| 6. Train Mask R-CNN Shapes Dataset.mp4 |
54.97Мб |
| 6. Train Mask R-CNN Shapes Dataset.srt |
6.84Кб |
| 6. Why ResNets Work So Well.mp4 |
23.29Мб |
| 6. Why ResNets Work So Well.srt |
6.61Кб |
| 7. Arithmetic and Bitwise Operations.mp4 |
66.14Мб |
| 7. Arithmetic and Bitwise Operations.srt |
14.51Кб |
| 7. Batch Normalization.mp4 |
23.84Мб |
| 7. Batch Normalization.srt |
6.69Кб |
| 7. Grad-CAM Visualize What Influences Your Model.mp4 |
14.91Мб |
| 7. Grad-CAM Visualize What Influences Your Model.srt |
4.47Кб |
| 7. Importing YouTube Videos into OpenCV.mp4 |
64.89Мб |
| 7. Importing YouTube Videos into OpenCV.srt |
9.59Кб |
| 7. MobileNetV1 and V2.mp4 |
43.82Мб |
| 7. MobileNetV1 and V2.srt |
14.70Кб |
| 7. PyTorch - Confusion Matrix and Misclassifications.mp4 |
29.25Мб |
| 7. PyTorch - Confusion Matrix and Misclassifications.srt |
6.58Кб |
| 7. PyTorch Feature Extraction.mp4 |
103.40Мб |
| 7. PyTorch Feature Extraction.srt |
15.87Кб |
| 7. Saving and Loading and Visualising Results.mp4 |
75.55Мб |
| 7. Saving and Loading and Visualising Results.srt |
15.93Кб |
| 7. Single Shot Detectors (SSDs).mp4 |
30.93Мб |
| 7. Single Shot Detectors (SSDs).srt |
9.87Кб |
| 7. SSDs in OpenCV.mp4 |
51.82Мб |
| 7. SSDs in OpenCV.srt |
6.60Кб |
| 7. Stride.mp4 |
17.14Мб |
| 7. Stride.srt |
7.80Кб |
| 7. Super Resolution GAN.mp4 |
102.24Мб |
| 7. Super Resolution GAN.srt |
13.59Кб |
| 7. Training Your Model.mp4 |
96.07Мб |
| 7. Training Your Model.srt |
17.79Кб |
| 8. Activation Functions.mp4 |
21.74Мб |
| 8. Activation Functions.srt |
7.74Кб |
| 8. AnimeGAN.mp4 |
34.77Мб |
| 8. AnimeGAN.srt |
5.41Кб |
| 8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp4 |
80.98Мб |
| 8. Colorize Black and White Photos using a Caffe Model in OpenCV.srt |
11.50Кб |
| 8. Convolutions, Blurring and Sharpening Images.mp4 |
58.96Мб |
| 8. Convolutions, Blurring and Sharpening Images.srt |
9.05Кб |
| 8. Grad-CAM Plus.mp4 |
80.37Мб |
| 8. Grad-CAM Plus.srt |
13.06Кб |
| 8. InceptionV3.mp4 |
23.42Мб |
| 8. InceptionV3.srt |
8.84Кб |
| 8. Saving Model and Displaying Results.mp4 |
49.27Мб |
| 8. Saving Model and Displaying Results.srt |
10.60Кб |
| 8. When Do We Use Regularization.mp4 |
11.57Мб |
| 8. When Do We Use Regularization.srt |
3.50Кб |
| 9. ArcaneGAN.mp4 |
31.55Мб |
| 9. ArcaneGAN.srt |
3.67Кб |
| 9. Inpainting to Restore Damaged Photos.mp4 |
28.48Мб |
| 9. Inpainting to Restore Damaged Photos.srt |
5.75Кб |
| 9. Plot and Visualize Your Results.mp4 |
25.81Мб |
| 9. Plot and Visualize Your Results.srt |
7.44Кб |
| 9. Pooling.mp4 |
23.42Мб |
| 9. Pooling.srt |
8.85Кб |
| 9. SqueezeNet.mp4 |
23.18Мб |
| 9. SqueezeNet.srt |
6.84Кб |
| 9. Thresholding, Binarization & Adaptive Thresholding.mp4 |
117.18Мб |
| 9. Thresholding, Binarization & Adaptive Thresholding.srt |
18.71Кб |
| 9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4 |
82.69Мб |
| 9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.srt |
14.28Кб |
| Download Paid Udemy Courses For Free.url |
116б |
| GetFreeCourses.Co.url |
116б |
| GetFreeCourses.Co.url |
116б |
| GetFreeCourses.Co.url |
116б |
| GetFreeCourses.Co.url |
116б |