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

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File Name
Size
0. Websites you may like/[CourseClub.Me].url
122 B
0. Websites you may like/[FreeCourseSite.com].url
127 B
0. Websites you may like/[GigaCourse.Com].url
49 B
1. Introduction/1. Course Introduction.mp4
83 MB
1. Introduction/1. Course Introduction.srt
17 kB
1. Introduction/2. Course Overview.mp4
64 MB
1. Introduction/2. Course Overview.srt
16 kB
1. Introduction/3. What Makes Computer Vision Hard.mp4
46 MB
1. Introduction/3. What Makes Computer Vision Hard.srt
9.4 kB
1. Introduction/4. What are Images.mp4
44 MB
1. Introduction/4. What are Images.srt
11 kB
10. OpenCV - Working With Video/1. Using Your Webcam and Creating a Live Sketch of Yourself.mp4
66 MB
10. OpenCV - Working With Video/1. Using Your Webcam and Creating a Live Sketch of Yourself.srt
12 kB
10. OpenCV - Working With Video/2. Opening Video Files in OpenCV.mp4
34 MB
10. OpenCV - Working With Video/2. Opening Video Files in OpenCV.srt
6.7 kB
10. OpenCV - Working With Video/3. Saving or Recording Videos in OpenCV.mp4
36 MB
10. OpenCV - Working With Video/3. Saving or Recording Videos in OpenCV.srt
4.7 kB
10. OpenCV - Working With Video/4. Video Streams and CCTV - RTSP and IP.mp4
42 MB
10. OpenCV - Working With Video/4. Video Streams and CCTV - RTSP and IP.srt
6.5 kB
10. OpenCV - Working With Video/5. Auto Reconnect to Video Streams.mp4
36 MB
10. OpenCV - Working With Video/5. Auto Reconnect to Video Streams.srt
4.4 kB
10. OpenCV - Working With Video/6. Capturing Video using Screenshots.mp4
46 MB
10. OpenCV - Working With Video/6. Capturing Video using Screenshots.srt
7.2 kB
10. OpenCV - Working With Video/7. Importing YouTube Videos into OpenCV.mp4
65 MB
10. OpenCV - Working With Video/7. Importing YouTube Videos into OpenCV.srt
9.6 kB
11. Deep Learning in Computer Vision Introduction/1. Introduction to Convolution Neural Networks.mp4
16 MB
11. Deep Learning in Computer Vision Introduction/1. Introduction to Convolution Neural Networks.srt
7.8 kB
11. Deep Learning in Computer Vision Introduction/10. Fully Connected Layers.mp4
11 MB
11. Deep Learning in Computer Vision Introduction/10. Fully Connected Layers.srt
4.2 kB
11. Deep Learning in Computer Vision Introduction/11. Softmax.mp4
8.9 MB
11. Deep Learning in Computer Vision Introduction/11. Softmax.srt
3.9 kB
11. Deep Learning in Computer Vision Introduction/12. Putting Together Your Convolutional Neural Network.mp4
29 MB
11. Deep Learning in Computer Vision Introduction/12. Putting Together Your Convolutional Neural Network.srt
11 kB
11. Deep Learning in Computer Vision Introduction/13. Parameter Counts in CNNs.mp4
24 MB
11. Deep Learning in Computer Vision Introduction/13. Parameter Counts in CNNs.srt
8.2 kB
11. Deep Learning in Computer Vision Introduction/14. Why CNNs Work So Well On Images.mp4
20 MB
11. Deep Learning in Computer Vision Introduction/14. Why CNNs Work So Well On Images.srt
6.3 kB
11. Deep Learning in Computer Vision Introduction/15. Training a CNN.mp4
27 MB
11. Deep Learning in Computer Vision Introduction/15. Training a CNN.srt
9.6 kB
11. Deep Learning in Computer Vision Introduction/16. Loss Functions.mp4
25 MB
11. Deep Learning in Computer Vision Introduction/16. Loss Functions.srt
9.8 kB
11. Deep Learning in Computer Vision Introduction/17. Backpropagation.mp4
29 MB
11. Deep Learning in Computer Vision Introduction/17. Backpropagation.srt
8.8 kB
11. Deep Learning in Computer Vision Introduction/18. Gradient Descent.mp4
33 MB
11. Deep Learning in Computer Vision Introduction/18. Gradient Descent.srt
12 kB
11. Deep Learning in Computer Vision Introduction/19. Optimisers and Learning Rate Schedules.mp4
41 MB
11. Deep Learning in Computer Vision Introduction/19. Optimisers and Learning Rate Schedules.srt
10 kB
11. Deep Learning in Computer Vision Introduction/2. Convolutions.mp4
34 MB
11. Deep Learning in Computer Vision Introduction/2. Convolutions.srt
13 kB
11. Deep Learning in Computer Vision Introduction/20. Deep Learning CNN Recap.mp4
36 MB
11. Deep Learning in Computer Vision Introduction/20. Deep Learning CNN Recap.srt
14 kB
11. Deep Learning in Computer Vision Introduction/21. Deep Learning History.mp4
58 MB
11. Deep Learning in Computer Vision Introduction/21. Deep Learning History.srt
20 kB
11. Deep Learning in Computer Vision Introduction/22. Deep Learning Libraries Overview.mp4
59 MB
11. Deep Learning in Computer Vision Introduction/22. Deep Learning Libraries Overview.srt
16 kB
11. Deep Learning in Computer Vision Introduction/3. Feature Detectors.mp4
24 MB
11. Deep Learning in Computer Vision Introduction/3. Feature Detectors.srt
6.5 kB
11. Deep Learning in Computer Vision Introduction/4. 3D Convolutions and Color Images.mp4
17 MB
11. Deep Learning in Computer Vision Introduction/4. 3D Convolutions and Color Images.srt
6.7 kB
11. Deep Learning in Computer Vision Introduction/5. Kernel Size and Depth.mp4
14 MB
11. Deep Learning in Computer Vision Introduction/5. Kernel Size and Depth.srt
5.9 kB
11. Deep Learning in Computer Vision Introduction/6. Padding.mp4
14 MB
11. Deep Learning in Computer Vision Introduction/6. Padding.srt
5.6 kB
11. Deep Learning in Computer Vision Introduction/7. Stride.mp4
17 MB
11. Deep Learning in Computer Vision Introduction/7. Stride.srt
7.8 kB
11. Deep Learning in Computer Vision Introduction/8. Activation Functions.mp4
22 MB
11. Deep Learning in Computer Vision Introduction/8. Activation Functions.srt
7.7 kB
11. Deep Learning in Computer Vision Introduction/9. Pooling.mp4
23 MB
11. Deep Learning in Computer Vision Introduction/9. Pooling.srt
8.8 kB
12. Building CNNs in PyTorch/1. Importing Required Libraries.mp4
48 MB
12. Building CNNs in PyTorch/1. Importing Required Libraries.srt
10 kB
12. Building CNNs in PyTorch/2. Transformation Pipeline.mp4
30 MB
12. Building CNNs in PyTorch/2. Transformation Pipeline.srt
6.4 kB
12. Building CNNs in PyTorch/3. Inspect and Visualise Data.mp4
71 MB
12. Building CNNs in PyTorch/3. Inspect and Visualise Data.srt
13 kB
12. Building CNNs in PyTorch/4. Data Loaders.mp4
30 MB
12. Building CNNs in PyTorch/4. Data Loaders.srt
7.0 kB
12. Building CNNs in PyTorch/5. Building our Model.mp4
102 MB
12. Building CNNs in PyTorch/5. Building our Model.srt
18 kB
12. Building CNNs in PyTorch/6. Optimisers and Loss Function.mp4
15 MB
12. Building CNNs in PyTorch/6. Optimisers and Loss Function.srt
3.2 kB
12. Building CNNs in PyTorch/7. Training Your Model.mp4
96 MB
12. Building CNNs in PyTorch/7. Training Your Model.srt
18 kB
12. Building CNNs in PyTorch/8. Saving Model and Displaying Results.mp4
49 MB
12. Building CNNs in PyTorch/8. Saving Model and Displaying Results.srt
11 kB
12. Building CNNs in PyTorch/9. Plot and Visualize Your Results.mp4
26 MB
12. Building CNNs in PyTorch/9. Plot and Visualize Your Results.srt
7.4 kB
13. Building CNNs in TensorFlow with Keras/1. Loading Data.mp4
27 MB
13. Building CNNs in TensorFlow with Keras/1. Loading Data.srt
5.2 kB
13. Building CNNs in TensorFlow with Keras/2. View and Inspect Data.mp4
30 MB
13. Building CNNs in TensorFlow with Keras/2. View and Inspect Data.srt
6.5 kB
13. Building CNNs in TensorFlow with Keras/3. Preprocessing Our Data.mp4
34 MB
13. Building CNNs in TensorFlow with Keras/3. Preprocessing Our Data.srt
7.6 kB
13. Building CNNs in TensorFlow with Keras/4. Constructing the CNN.mp4
64 MB
13. Building CNNs in TensorFlow with Keras/4. Constructing the CNN.srt
9.9 kB
13. Building CNNs in TensorFlow with Keras/5. Training the Model.mp4
46 MB
13. Building CNNs in TensorFlow with Keras/5. Training the Model.srt
6.3 kB
13. Building CNNs in TensorFlow with Keras/6. Plotting the Training Results.mp4
36 MB
13. Building CNNs in TensorFlow with Keras/6. Plotting the Training Results.srt
6.2 kB
13. Building CNNs in TensorFlow with Keras/7. Saving and Loading and Visualising Results.mp4
76 MB
13. Building CNNs in TensorFlow with Keras/7. Saving and Loading and Visualising Results.srt
16 kB
14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.mp4
68 MB
14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.srt
19 kB
14. Assessing Model Performance/2. Assessing Model Performance.mp4
23 MB
14. Assessing Model Performance/2. Assessing Model Performance.srt
8.7 kB
14. Assessing Model Performance/3. Confusion Matrix and Classification Report.mp4
68 MB
14. Assessing Model Performance/3. Confusion Matrix and Classification Report.srt
20 kB
14. Assessing Model Performance/4. Keras Viewing Misclassifications.mp4
65 MB
14. Assessing Model Performance/4. Keras Viewing Misclassifications.srt
11 kB
14. Assessing Model Performance/5. Keras - Confusion Matrix and Classification Report.mp4
43 MB
14. Assessing Model Performance/5. Keras - Confusion Matrix and Classification Report.srt
8.9 kB
14. Assessing Model Performance/6. PyTorch Viewing Misclassifications.mp4
51 MB
14. Assessing Model Performance/6. PyTorch Viewing Misclassifications.srt
9.9 kB
14. Assessing Model Performance/7. PyTorch - Confusion Matrix and Misclassifications.mp4
29 MB
14. Assessing Model Performance/7. PyTorch - Confusion Matrix and Misclassifications.srt
6.6 kB
15. Improving Models and Advanced CNN Design/1. What is Overfitting and Generalisation.mp4
44 MB
15. Improving Models and Advanced CNN Design/1. What is Overfitting and Generalisation.srt
13 kB
15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4
96 MB
15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.srt
17 kB
15. Improving Models and Advanced CNN Design/11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4
64 MB
15. Improving Models and Advanced CNN Design/11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.srt
11 kB
15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4
108 MB
15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.srt
18 kB
15. Improving Models and Advanced CNN Design/2. Introduction to Regularization.mp4
8.0 MB
15. Improving Models and Advanced CNN Design/2. Introduction to Regularization.srt
2.8 kB
15. Improving Models and Advanced CNN Design/3. Drop Out.mp4
13 MB
15. Improving Models and Advanced CNN Design/3. Drop Out.srt
4.8 kB
15. Improving Models and Advanced CNN Design/4. L1 and L2 Regularization.mp4
16 MB
15. Improving Models and Advanced CNN Design/4. L1 and L2 Regularization.srt
5.7 kB
15. Improving Models and Advanced CNN Design/5. Data Augmentation.mp4
32 MB
15. Improving Models and Advanced CNN Design/5. Data Augmentation.srt
6.5 kB
15. Improving Models and Advanced CNN Design/6. Early Stopping.mp4
13 MB
15. Improving Models and Advanced CNN Design/6. Early Stopping.srt
5.1 kB
15. Improving Models and Advanced CNN Design/7. Batch Normalization.mp4
24 MB
15. Improving Models and Advanced CNN Design/7. Batch Normalization.srt
6.7 kB
15. Improving Models and Advanced CNN Design/8. When Do We Use Regularization.mp4
12 MB
15. Improving Models and Advanced CNN Design/8. When Do We Use Regularization.srt
3.5 kB
15. Improving Models and Advanced CNN Design/9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4
83 MB
15. Improving Models and Advanced CNN Design/9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.srt
14 kB
16. Visualizing What CNN's Learn/1. Visualizing CNN Filters or Feature Maps.mp4
20 MB
16. Visualizing What CNN's Learn/1. Visualizing CNN Filters or Feature Maps.srt
8.4 kB
16. Visualizing What CNN's Learn/2. Visualising Filter Activations.mp4
36 MB
16. Visualizing What CNN's Learn/2. Visualising Filter Activations.srt
12 kB
16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.mp4
107 MB
16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.srt
22 kB
16. Visualizing What CNN's Learn/4. Maximizing Filters.mp4
23 MB
16. Visualizing What CNN's Learn/4. Maximizing Filters.srt
6.6 kB
16. Visualizing What CNN's Learn/5. Class Maximization.mp4
30 MB
16. Visualizing What CNN's Learn/5. Class Maximization.srt
7.6 kB
16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4
156 MB
16. Visualizing What CNN's Learn/6. Filter and Class Maximization.srt
25 kB
16. Visualizing What CNN's Learn/7. Grad-CAM Visualize What Influences Your Model.mp4
15 MB
16. Visualizing What CNN's Learn/7. Grad-CAM Visualize What Influences Your Model.srt
4.5 kB
16. Visualizing What CNN's Learn/8. Grad-CAM Plus.mp4
80 MB
16. Visualizing What CNN's Learn/8. Grad-CAM Plus.srt
13 kB
17. Advamced Convolutional Neural Networks/1. History and Evolution of Convolutional Neural Networks.mp4
9.1 MB
17. Advamced Convolutional Neural Networks/1. History and Evolution of Convolutional Neural Networks.srt
5.6 kB
17. Advamced Convolutional Neural Networks/10. EfficientNet.mp4
25 MB
17. Advamced Convolutional Neural Networks/10. EfficientNet.srt
7.9 kB
17. Advamced Convolutional Neural Networks/11. DenseNet.mp4
32 MB
17. Advamced Convolutional Neural Networks/11. DenseNet.srt
10 kB
17. Advamced Convolutional Neural Networks/12. The ImageNet Dataset.mp4
30 MB
17. Advamced Convolutional Neural Networks/12. The ImageNet Dataset.srt
7.7 kB
17. Advamced Convolutional Neural Networks/2. LeNet.mp4
19 MB
17. Advamced Convolutional Neural Networks/2. LeNet.srt
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17. Advamced Convolutional Neural Networks/3. AlexNet.mp4
18 MB
17. Advamced Convolutional Neural Networks/3. AlexNet.srt
5.9 kB
17. Advamced Convolutional Neural Networks/4. VGG16 and VGG19.mp4
23 MB
17. Advamced Convolutional Neural Networks/4. VGG16 and VGG19.srt
7.0 kB
17. Advamced Convolutional Neural Networks/5. ResNets.mp4
18 MB
17. Advamced Convolutional Neural Networks/5. ResNets.srt
7.0 kB
17. Advamced Convolutional Neural Networks/6. Why ResNets Work So Well.mp4
23 MB
17. Advamced Convolutional Neural Networks/6. Why ResNets Work So Well.srt
6.6 kB
17. Advamced Convolutional Neural Networks/7. MobileNetV1 and V2.mp4
44 MB
17. Advamced Convolutional Neural Networks/7. MobileNetV1 and V2.srt
15 kB
17. Advamced Convolutional Neural Networks/8. InceptionV3.mp4
23 MB
17. Advamced Convolutional Neural Networks/8. InceptionV3.srt
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17. Advamced Convolutional Neural Networks/9. SqueezeNet.mp4
23 MB
17. Advamced Convolutional Neural Networks/9. SqueezeNet.srt
6.8 kB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4
139 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.srt
23 kB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4
154 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).srt
29 kB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4
111 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt
20 kB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4. The Top-N or Rank-N Accuracy Metric.mp4
12 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4. The Top-N or Rank-N Accuracy Metric.srt
4.6 kB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.mp4
98 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.srt
16 kB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6. Getting the Rank-N Accuracy in Keras.mp4
56 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6. Getting the Rank-N Accuracy in Keras.srt
9.8 kB
19. Using Callbacks in Keras and PyTorch/1. What are Callbacks.mp4
16 MB
19. Using Callbacks in Keras and PyTorch/1. What are Callbacks.srt
7.0 kB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4
115 MB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.srt
23 kB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4
115 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.srt
22 kB
2. Download Code and Setup Colab/1. Download Course Resources.html
804 B
2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip
151 MB
2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf
122 MB
2. Download Code and Setup Colab/2. Setup - Download Code and Configure Colab.mp4
23 MB
2. Download Code and Setup Colab/2. Setup - Download Code and Configure Colab.srt
4.2 kB
20. PyTorch Lightning/1. Introduction to PyTorch Lightning.mp4
38 MB
20. PyTorch Lightning/1. Introduction to PyTorch Lightning.srt
12 kB
20. PyTorch Lightning/2. Lightning Setup and Class.mp4
62 MB
20. PyTorch Lightning/2. Lightning Setup and Class.srt
9.5 kB
20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4
107 MB
20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.srt
17 kB
20. PyTorch Lightning/4. PyTorch Lightning Calls, Saving, Inference.mp4
72 MB
20. PyTorch Lightning/4. PyTorch Lightning Calls, Saving, Inference.srt
13 kB
20. PyTorch Lightning/5. Training on Multiple GPU, Profiling and TPUs.mp4
64 MB
20. PyTorch Lightning/5. Training on Multiple GPU, Profiling and TPUs.srt
9.9 kB
21. Transfer Learning and Fine Tuning/1. Transfer Learning Introduction.mp4
32 MB
21. Transfer Learning and Fine Tuning/1. Transfer Learning Introduction.srt
13 kB
21. Transfer Learning and Fine Tuning/2. Transfer Learning in PyTorch Lightning.mp4
56 MB
21. Transfer Learning and Fine Tuning/2. Transfer Learning in PyTorch Lightning.srt
9.7 kB
21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.mp4
96 MB
21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.srt
17 kB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4
132 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.srt
20 kB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4
122 MB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.srt
22 kB
21. Transfer Learning and Fine Tuning/6. PyTorch Transfer Learning and Freezing Network Layers.mp4
29 MB
21. Transfer Learning and Fine Tuning/6. PyTorch Transfer Learning and Freezing Network Layers.srt
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21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.mp4
103 MB
21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.srt
16 kB
22. Google DeepStream and Neural Style Transfer/1. Introduction to Google DeepDream Visualizations.mp4
40 MB
22. Google DeepStream and Neural Style Transfer/1. Introduction to Google DeepDream Visualizations.srt
7.3 kB
22. Google DeepStream and Neural Style Transfer/2. Google DeepDream in Keras.mp4
73 MB
22. Google DeepStream and Neural Style Transfer/2. Google DeepDream in Keras.srt
10 kB
22. Google DeepStream and Neural Style Transfer/3. Google DeepDream in PyTorch.mp4
58 MB
22. Google DeepStream and Neural Style Transfer/3. Google DeepDream in PyTorch.srt
6.3 kB
22. Google DeepStream and Neural Style Transfer/4. Introduction to Neural Style Transfer.mp4
50 MB
22. Google DeepStream and Neural Style Transfer/4. Introduction to Neural Style Transfer.srt
14 kB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4
141 MB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.srt
22 kB
22. Google DeepStream and Neural Style Transfer/6. Neural Style Transfer in PyTorch.mp4
58 MB
22. Google DeepStream and Neural Style Transfer/6. Neural Style Transfer in PyTorch.srt
7.6 kB
23. Autoencoders/0. Websites you may like/[CourseClub.Me].url
122 B
23. Autoencoders/0. Websites you may like/[FreeCourseSite.com].url
127 B
23. Autoencoders/0. Websites you may like/[GigaCourse.Com].url
49 B
23. Autoencoders/1. Introduction to Autoencoders.mp4
25 MB
23. Autoencoders/1. Introduction to Autoencoders.srt
10 kB
23. Autoencoders/2. Autoencoders in Keras.mp4
80 MB
23. Autoencoders/2. Autoencoders in Keras.srt
14 kB
23. Autoencoders/3. Autoencoders in PyTorch.mp4
66 MB
23. Autoencoders/3. Autoencoders in PyTorch.srt
11 kB
24. Generative Adversarial Networks (GANs)/1. Introduction to GANs.mp4
44 MB
24. Generative Adversarial Networks (GANs)/1. Introduction to GANs.srt
6.5 kB
24. Generative Adversarial Networks (GANs)/1.1 Slides - Generative Adverserial Networks.pdf
29 MB
24. Generative Adversarial Networks (GANs)/2. How Do GANs Work.mp4
26 MB
24. Generative Adversarial Networks (GANs)/2. How Do GANs Work.srt
7.3 kB
24. Generative Adversarial Networks (GANs)/3. Training GANs.mp4
49 MB
24. Generative Adversarial Networks (GANs)/3. Training GANs.srt
11 kB
24. Generative Adversarial Networks (GANs)/4. Use Cases for GANs.mp4
108 MB
24. Generative Adversarial Networks (GANs)/4. Use Cases for GANs.srt
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24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.mp4
101 MB
24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.srt
16 kB
24. Generative Adversarial Networks (GANs)/6. PyTorch GANs.mp4
65 MB
24. Generative Adversarial Networks (GANs)/6. PyTorch GANs.srt
11 kB
24. Generative Adversarial Networks (GANs)/7. Super Resolution GAN.mp4
102 MB
24. Generative Adversarial Networks (GANs)/7. Super Resolution GAN.srt
14 kB
24. Generative Adversarial Networks (GANs)/8. AnimeGAN.mp4
35 MB
24. Generative Adversarial Networks (GANs)/8. AnimeGAN.srt
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24. Generative Adversarial Networks (GANs)/9. ArcaneGAN.mp4
32 MB
24. Generative Adversarial Networks (GANs)/9. ArcaneGAN.srt
3.7 kB
25. Siamese Network/1. Introduction to Siamese Networks.mp4
29 MB
25. Siamese Network/1. Introduction to Siamese Networks.srt
8.7 kB
25. Siamese Network/2. Training Siamese Networks.mp4
13 MB
25. Siamese Network/2. Training Siamese Networks.srt
4.8 kB
25. Siamese Network/3. Siamese Networks in Keras.mp4
73 MB
25. Siamese Network/3. Siamese Networks in Keras.srt
13 kB
25. Siamese Network/4. Siamese Networks in PyTorch.mp4
68 MB
25. Siamese Network/4. Siamese Networks in PyTorch.srt
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26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1. Face Recognition Overview.mp4
32 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1. Face Recognition Overview.srt
10 kB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2. Facial Similarity Keras VGGFace.mp4
57 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2. Facial Similarity Keras VGGFace.srt
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26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3. Face Recognition Keras One Shot Learning and Friends.mp4
81 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3. Face Recognition Keras One Shot Learning and Friends.srt
11 kB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4. Face Recognition PyTorch FaceNet.mp4
51 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4. Face Recognition PyTorch FaceNet.srt
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26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4
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26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt
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27. Object Detection/1. Object Detection.mp4
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27. Object Detection/1. Object Detection.srt
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27. Object Detection/2. History of Object Detectors.mp4
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27. Object Detection/2. History of Object Detectors.srt
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27. Object Detection/3. Intersection Over Union.mp4
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27. Object Detection/3. Intersection Over Union.srt
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27. Object Detection/4. Mean Average Precision.mp4
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27. Object Detection/5. Non Maximum Suppression.mp4
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27. Object Detection/6. R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4
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27. Object Detection/7. Single Shot Detectors (SSDs).mp4
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/1. Introduction to YOLO.mp4
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/1. Introduction to YOLO.srt
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/2. How YOLO Works.mp4
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/2. How YOLO Works.srt
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/3. Training YOLO.mp4
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/3. Training YOLO.srt
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/4. YOLO Evolution.mp4
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/4. YOLO Evolution.srt
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/5. EfficientDet.mp4
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/5. EfficientDet.srt
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/6. Detectron2.mp4
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/6. Detectron2.srt
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29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4
128 MB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.srt
18 kB
3. OpenCV - Image Operations/1. Getting Started with OpenCV4.mp4
95 MB
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3. OpenCV - Image Operations/10. Dilation, Erosion and Edge Detection.mp4
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3. OpenCV - Image Operations/2. Grayscaling Images.mp4
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3. OpenCV - Image Operations/3. Colour Spaces - RGB and HSV.mp4
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3. OpenCV - Image Operations/4. Drawing on Images.mp4
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3. OpenCV - Image Operations/5. Transformations - Translations and Rotations.mp4
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3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4
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3. OpenCV - Image Operations/7. Arithmetic and Bitwise Operations.mp4
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3. OpenCV - Image Operations/8. Convolutions, Blurring and Sharpening Images.mp4
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30. Mask Detector TFODAPI MobileNetV2_SSD/1. Mask Detector TFODAPI MobileNetV2_SSD.mp4
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30. Mask Detector TFODAPI MobileNetV2_SSD/1. Mask Detector TFODAPI MobileNetV2_SSD.srt
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31. Sign Language Detector TFODAPI EfficentDet/1. Sign Language Detector TFODAPI EfficentDet.mp4
85 MB
31. Sign Language Detector TFODAPI EfficentDet/1. Sign Language Detector TFODAPI EfficentDet.srt
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32. Pothole Detector - TinyYOLOv4/1. Pothole Detector - TinyYOLOv4.mp4
60 MB
32. Pothole Detector - TinyYOLOv4/1. Pothole Detector - TinyYOLOv4.srt
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33. Mushroom Detector Detectron2/1. Mushroom Detector Detectron2.mp4
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33. Mushroom Detector Detectron2/1. Mushroom Detector Detectron2.srt
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34. Website Region Detector YOLOv4 Darknet/1. Website Region Detector YOLOv4 Darknet.mp4
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34. Website Region Detector YOLOv4 Darknet/1. Website Region Detector YOLOv4 Darknet.srt
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35. Drone Maritime Detector R-CNN/1. Drone Maritime Detector R-CNN.mp4
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35. Drone Maritime Detector R-CNN/1. Drone Maritime Detector R-CNN.srt
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36. Chess Piece YOLOv3/1. Chess Piece YOLOv3.mp4
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36. Chess Piece YOLOv3/1. Chess Piece YOLOv3.srt
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37. Bloodcell Detector YOLOv5/1. Bloodcell Detector YOLOv5.mp4
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37. Bloodcell Detector YOLOv5/1. Bloodcell Detector YOLOv5.srt
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38. Hard Hat Detector EfficentDet/1. Hard Hat Detector EfficentDet.mp4
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38. Hard Hat Detector EfficentDet/1. Hard Hat Detector EfficentDet.srt
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39. Plant Doctor Detector YOLOv5/1. Plant Doctor Detector YOLOv5.mp4
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39. Plant Doctor Detector YOLOv5/1. Plant Doctor Detector YOLOv5.srt
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4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4
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4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4
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4. OpenCV - Image Segmentation/3. Line, Circle and Blob Detection.mp4
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4. OpenCV - Image Segmentation/4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4
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4. OpenCV - Image Segmentation/5. Finding Corners.mp4
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40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.mp4
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40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.srt
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40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.mp4
73 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.srt
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40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.mp4
60 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.srt
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40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.mp4
62 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.srt
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40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.mp4
71 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.srt
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40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/6. Train Mask R-CNN Shapes Dataset.mp4
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40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/6. Train Mask R-CNN Shapes Dataset.srt
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41. Body Pose Estimation/1. Body Pose Estimation.mp4
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41. Body Pose Estimation/1. Body Pose Estimation.srt
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42. Tracking with DeepSORT/1. DeepSORT Introduction.mp4
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42. Tracking with DeepSORT/1. DeepSORT Introduction.srt
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42. Tracking with DeepSORT/2. DeepSORT with YOLOv5.mp4
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42. Tracking with DeepSORT/2. DeepSORT with YOLOv5.srt
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43. Deep Fakes/1. Creating a Deep Fake.mp4
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44. Vision Transformers - ViTs/1. Introduction to Vision Transformers.mp4
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44. Vision Transformers - ViTs/2. Vision Transformer in Detail with PyTorch.mp4
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44. Vision Transformers - ViTs/3. Vision Transformers in Keras.mp4
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45. BiT BigTransfer Classifier Keras/1. BiT BigTransfer Classifier Keras.mp4
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45. BiT BigTransfer Classifier Keras/1. BiT BigTransfer Classifier Keras.srt
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46. Depth Estimation/1. Depth Estimation Project.mp4
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46. Depth Estimation/1. Depth Estimation Project.srt
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47. Image Similarity using Metric Learning/1. Image Similarity using Metric Learning.mp4
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47. Image Similarity using Metric Learning/1. Image Similarity using Metric Learning.srt
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48. Image Captioning with Keras/1. Image Captioning with Keras.mp4
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48. Image Captioning with Keras/1. Image Captioning with Keras.srt
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49. Video Classification usign CNN+RNN/1. Video Classification usign CNN+RNN.mp4
57 MB
49. Video Classification usign CNN+RNN/1. Video Classification usign CNN+RNN.srt
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5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4
110 MB
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.srt
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5. OpenCV - Haar Cascade Classifiers/2. Vehicle and Pedestrian Detection.mp4
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50. Video Classification with Transformers/1. Video Classification with Transformers.mp4
49 MB
50. Video Classification with Transformers/1. Video Classification with Transformers.srt
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51. Point Cloud Classification PointNet/1. Point Cloud Classification PointNet.mp4
60 MB
51. Point Cloud Classification PointNet/1. Point Cloud Classification PointNet.srt
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52. Point Cloud Segmentation Using PointNet/1. Point Cloud Segmentation Using PointNet.mp4
92 MB
52. Point Cloud Segmentation Using PointNet/1. Point Cloud Segmentation Using PointNet.srt
13 kB
53. Medical Project - X-Ray Pneumonia Prediction/1. X-Ray Pneumonia Prediction.mp4
61 MB
53. Medical Project - X-Ray Pneumonia Prediction/1. X-Ray Pneumonia Prediction.srt
8.3 kB
54. Medical Project - 3D CT Scan Classification/1. 3D CT Scan Classification.mp4
60 MB
54. Medical Project - 3D CT Scan Classification/1. 3D CT Scan Classification.srt
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55. Low Light Image Enhancement MIRNet/1. Low Light Image Enhancement MIRNet.mp4
92 MB
55. Low Light Image Enhancement MIRNet/1. Low Light Image Enhancement MIRNet.srt
11 kB
56. Deploy your CV App using Flask RestFUL API & Web App/1. Flask RestFUL API.mp4
55 MB
56. Deploy your CV App using Flask RestFUL API & Web App/1. Flask RestFUL API.srt
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56. Deploy your CV App using Flask RestFUL API & Web App/2. Flask Web App.mp4
37 MB
56. Deploy your CV App using Flask RestFUL API & Web App/2. Flask Web App.srt
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57. OCR Captcha Cracker/1. OCR Captcha Cracker.mp4
46 MB
57. OCR Captcha Cracker/1. OCR Captcha Cracker.srt
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6. OpenCV - Image Analysis and Transformation/0. Websites you may like/[CourseClub.Me].url
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6. OpenCV - Image Analysis and Transformation/1. Perspective Transforms.mp4
64 MB
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6. OpenCV - Image Analysis and Transformation/2. Histograms and K-Means Clustering for Dominant Colors.mp4
80 MB
6. OpenCV - Image Analysis and Transformation/2. Histograms and K-Means Clustering for Dominant Colors.srt
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6. OpenCV - Image Analysis and Transformation/3. Comparing Images MSE and Structual Similarity.mp4
42 MB
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6. OpenCV - Image Analysis and Transformation/4. Filtering on Colour.mp4
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6. OpenCV - Image Analysis and Transformation/5. Watershed Algorithm Marker-Dased Image Segmentation.mp4
43 MB
6. OpenCV - Image Analysis and Transformation/5. Watershed Algorithm Marker-Dased Image Segmentation.srt
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6. OpenCV - Image Analysis and Transformation/6. Background and Foreground Subtraction.mp4
66 MB
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7. OpenCV - Motion and Object Tracking/1. Motion Tracking with Mean Shift and CAMSHIFT.mp4
71 MB
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7. OpenCV - Motion and Object Tracking/2. Object Tracking with Optical Flow.mp4
95 MB
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7. OpenCV - Motion and Object Tracking/3. Simple Object Tracking by Color.mp4
49 MB
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8. OpenCV - Facial Landmark Detection & Face Swaps/1. Facial Landmark Detection with Dlib.mp4
38 MB
8. OpenCV - Facial Landmark Detection & Face Swaps/1. Facial Landmark Detection with Dlib.srt
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8. OpenCV - Facial Landmark Detection & Face Swaps/2. Face Swapping with Dlib.mp4
49 MB
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9. OpenCV Projects/1. Tilt Shift Effects.mp4
59 MB
9. OpenCV Projects/1. Tilt Shift Effects.srt
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9. OpenCV Projects/10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4
89 MB
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9. OpenCV Projects/11. Detect Blur in Images.mp4
40 MB
9. OpenCV Projects/11. Detect Blur in Images.srt
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9. OpenCV Projects/12. Facial Recognition.mp4
84 MB
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9. OpenCV Projects/2. GrabCut Algorithm for Background Removal.mp4
46 MB
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9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4
120 MB
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9. OpenCV Projects/4. Barcode, QR Generation and Reading.mp4
69 MB
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9. OpenCV Projects/5. YOLOv3 in OpenCV.mp4
80 MB
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9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4
143 MB
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9. OpenCV Projects/7. SSDs in OpenCV.mp4
52 MB
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9. OpenCV Projects/8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp4
81 MB
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9. OpenCV Projects/9. Inpainting to Restore Damaged Photos.mp4
28 MB
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