Computer Vision Masterclass | 06CF5964736C654BB070609303B3A02453B822B4

Computer Vision Masterclass

Name	Computer Vision Masterclass	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	10.5 GB
Total Files	643
Last Seen
Hash	06CF5964736C654BB070609303B3A02453B822B4

/2. Face detection/
8. Eye detection with haarcascades.mp4	136.6 MB

TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/9. Autoencoders/
11. Convolutional autoencoders 2.srt	17.3 KB
15. Homework solution.srt	11.4 KB
6. Building and training a linear autoencoder.srt	10.7 KB
9. Encoding and decoding the test images.srt	8.8 KB
4. Visualizing the images.srt	8.6 KB
11. Convolutional autoencoders 2.mp4	132.9 MB
13. Convolutional autoencoders 4.srt	8.4 KB
8. Decoding the images.srt	8.0 KB
7. Encoding the images.srt	7.9 KB
12. Convolutional autoencoders 3.srt	7.3 KB
2. Autoencoders – intuition.srt	7.1 KB
3. Importing the libraries and dataset.srt	5.9 KB
10. Convolutional autoencoders 1.srt	6.5 KB
5. Preprocessing the images.srt	5.4 KB
1. Plan of attack.srt	2.9 KB
14. HOMEWORK.html	0.8 KB
16. Additional reading.html	0.7 KB
1.1 Source code - Google Colab File.html	0.1 KB
1.2 Homework solution.html	0.1 KB
15. Homework solution.mp4	98.8 MB
12. Convolutional autoencoders 3.mp4	68.0 MB
9. Encoding and decoding the test images.mp4	65.2 MB
6. Building and training a linear autoencoder.mp4	64.6 MB
13. Convolutional autoencoders 4.mp4	63.4 MB
4. Visualizing the images.mp4	63.1 MB
7. Encoding the images.mp4	57.1 MB
8. Decoding the images.mp4	55.7 MB
10. Convolutional autoencoders 1.mp4	39.3 MB
3. Importing the libraries and dataset.mp4	34.0 MB
2. Autoencoders – intuition.mp4	29.2 MB
5. Preprocessing the images.mp4	27.5 MB
1. Plan of attack.mp4	10.4 MB
/.../11. Recognition of gestures and actions/
5. Predicting body points 1.srt	16.2 KB
7. Detecting gestures in images.srt	10.8 KB
3. Importing the libraries and the image.srt	8.2 KB
2. Gestures and actions recognition – intuition.srt	6.9 KB
9. Detecting gestures in videos 2.srt	6.3 KB
8. Detecting gestures in videos 1.srt	5.9 KB
5. Predicting body points 1.mp4	127.4 MB
6. Predicting body points 2.srt	4.6 KB
4. Loading the pre-trained neural network.srt	4.5 KB
11. Homework solution.srt	4.3 KB
1. Plan of attack.srt	3.1 KB
12. Additional reading.html	0.9 KB
10. HOMEWORK.html	0.6 KB
1.1 Source code - Google Colab File.html	0.1 KB
7. Detecting gestures in images.mp4	113.2 MB
9. Detecting gestures in videos 2.mp4	68.1 MB
2. Gestures and actions recognition – intuition.mp4	62.6 MB
3. Importing the libraries and the image.mp4	59.3 MB
6. Predicting body points 2.mp4	48.9 MB
11. Homework solution.mp4	43.2 MB
8. Detecting gestures in videos 1.mp4	37.2 MB
4. Loading the pre-trained neural network.mp4	28.5 MB
1. Plan of attack.mp4	19.2 MB
/1. Introduction/
2. Google Drive folder.html	0.4 KB
1. Course content.srt	12.8 KB
1. Course content.mp4	107.9 MB
/.../13. Style transfer/
5. Building the neural network 1.srt	15.6 KB
9. Training the neural network 1.srt	14.4 KB
10. Training the neural network 2.srt	13.6 KB
7. Building the neural network 3.srt	13.4 KB
4. Loading and pre-processing the images.srt	10.4 KB
6. Building the neural network 2.srt	10.2 KB
8. Building the neural network 4.srt	10.2 KB
3. Loading VGG19 network.srt	5.9 KB
2. Style transfer – intuition.srt	5.7 KB
13. Homework solution.srt	4.1 KB
11. Visualizing the result.srt	3.5 KB
1. Plan of attack.srt	2.9 KB
14. Additional reading.html	0.6 KB
12. HOMEWORK.html	0.5 KB
1.1 Source code - Google Colab File.html	0.1 KB
10. Training the neural network 2.mp4	126.7 MB
5. Building the neural network 1.mp4	113.5 MB
7. Building the neural network 3.mp4	97.1 MB
6. Building the neural network 2.mp4	83.4 MB
9. Training the neural network 1.mp4	78.7 MB
8. Building the neural network 4.mp4	75.4 MB
4. Loading and pre-processing the images.mp4	62.9 MB
13. Homework solution.mp4	42.8 MB
2. Style transfer – intuition.mp4	42.2 MB
3. Loading VGG19 network.mp4	40.6 MB
11. Visualizing the result.mp4	34.5 MB
1. Plan of attack.mp4	15.3 MB
/.../14. GANs (Generative adversarial networks)/
4. Building the generator 1.srt	15.4 KB
3. Loading the dataset.srt	13.9 KB
8. Training the GAN 1.srt	11.3 KB
2. GANs – intuition.srt	11.1 KB
9. Training the GAN 2.srt	10.6 KB
6. Building the discriminator.srt	9.8 KB
7. Calculating the loss.srt	7.9 KB
5. Building the generator 2.srt	6.9 KB
11. Homerwork solution.srt	4.4 KB
1. Plan of attack.srt	3.4 KB
10. HOMEWORK.html	0.5 KB
12. Additional reading.html	0.5 KB
1.1 Homework solution.html	0.1 KB
1.2 Source code - Google Colab File.html	0.1 KB
4. Building the generator 1.mp4	112.0 MB
3. Loading the dataset.mp4	100.4 MB
8. Training the GAN 1.mp4	74.9 MB
9. Training the GAN 2.mp4	70.6 MB
6. Building the discriminator.mp4	67.8 MB
2. GANs – intuition.mp4	64.2 MB
7. Calculating the loss.mp4	53.5 MB
5. Building the generator 2.mp4	51.3 MB
11. Homerwork solution.mp4	39.4 MB
1. Plan of attack.mp4	26.4 MB
/2. Face detection/
1.1 Source code - Google Colab File.html	0.1 KB
9. HOMERWORK – detecting other objects.html	0.6 KB
10. Homework solution.srt	2.2 KB
5. Face detection with Haarcascade and OpenCV.srt	12.3 KB
14. HOMEWORK – Haarcascade x HOG x CNN.html	0.5 KB
4. Loading and pre-processing the image.srt	11.7 KB
18. Additional reading.html	1.2 KB
11. HOG (Histrograms of Oriented Gradients) – intuition.srt	11.1 KB
12. Face detection with HOG and Dlib.srt	10.5 KB
8. Eye detection with haarcascades.srt	9.8 KB
3. Cascade classifier - intuition.srt	9.0 KB
7. Haarcascades parameters 2.srt	8.7 KB
17. Face detection on the webcam.srt	7.8 KB
6. Haarcascades parameters 1.srt	6.9 KB
13. Face detection with CNN and Dlib.srt	5.5 KB
15. Homework solution.srt	5.1 KB
1. Plan of attack.srt	4.3 KB
2. Images and pixels.srt	4.2 KB
16. Anaconda and PyCharm.srt	3.4 KB
5. Face detection with Haarcascade and OpenCV.mp4	113.9 MB
7. Haarcascades parameters 2.mp4	110.0 MB
6. Haarcascades parameters 1.mp4	87.4 MB
3. Cascade classifier - intuition.mp4	86.3 MB
4. Loading and pre-processing the image.mp4	81.0 MB
12. Face detection with HOG and Dlib.mp4	78.7 MB
11. HOG (Histrograms of Oriented Gradients) – intuition.mp4	76.7 MB
17. Face detection on the webcam.mp4	62.1 MB
13. Face detection with CNN and Dlib.mp4	38.6 MB
15. Homework solution.mp4	38.1 MB
1. Plan of attack.mp4	33.9 MB
2. Images and pixels.mp4	30.7 MB
10. Homework solution.mp4	17.8 MB
16. Anaconda and PyCharm.mp4	15.0 MB
/3. Face recognition/
12. Detecting facial descriptors 2.srt	14.7 KB
4. Preprocessing the images.srt	14.3 KB
11. Detecting facial descriptors 1.srt	13.5 KB
13. Calculating distances between faces.srt	12.7 KB
1.1 Source code - Google Colab File.html	0.1 KB
10. Detecting facial points.srt	10.6 KB
14. Recognizing faces with Dlib 1.srt	10.6 KB
7. Evaluating the LBPH classifier.srt	10.1 KB
16. HOMEWORK.html	0.6 KB
3. Loading the faces dataset.srt	9.0 KB
19. Additional reading.html	1.2 KB
2. LBPH algorithm - intuition.srt	8.7 KB
6. Recognizing faces with LBPH.srt	7.5 KB
12. Detecting facial descriptors 2.mp4	130.9 MB
17. Homework solution.srt	5.7 KB
18. Face recognition on the webcam.srt	4.9 KB
1. Plan of attack.srt	4.6 KB
8. LBPH parameters.srt	4.3 KB
5. Training the LBPH classifier.srt	4.1 KB
9. LBPH parameters – implementation.srt	4.0 KB
15. Recognizing faces with Dlib 2.srt	3.7 KB
13. Calculating distances between faces.mp4	125.1 MB
11. Detecting facial descriptors 1.mp4	109.9 MB
4. Preprocessing the images.mp4	103.2 MB
10. Detecting facial points.mp4	102.7 MB
14. Recognizing faces with Dlib 1.mp4	91.5 MB
7. Evaluating the LBPH classifier.mp4	74.0 MB
3. Loading the faces dataset.mp4	62.0 MB
6. Recognizing faces with LBPH.mp4	50.5 MB
17. Homework solution.mp4	44.3 MB
18. Face recognition on the webcam.mp4	42.5 MB
2. LBPH algorithm - intuition.mp4	37.6 MB
9. LBPH parameters – implementation.mp4	33.2 MB
15. Recognizing faces with Dlib 2.mp4	30.3 MB
5. Training the LBPH classifier.mp4	22.8 MB
8. LBPH parameters.mp4	22.0 MB
1. Plan of attack.mp4	16.8 MB
/.../5. Neural networks for image classification/
39. Feature extraction with OpenCV 2.srt	14.5 KB
6. Weight update 2.srt	14.3 KB
5. Weight update 1.srt	12.3 KB
34. Evaluating the neural network.srt	12.2 KB
33. Building and training the neural network.srt	12.0 KB
21. Hidden layers.srt	11.6 KB
37. Extracting features from images.srt	11.4 KB
20. Bias, error and multiple outputs.srt	11.3 KB
27. Extracting pixels from images 1.srt	11.0 KB
4. Perceptron.srt	10.3 KB
48. Homework solution.srt	10.1 KB
28. Extracting pixels from images 2.srt	9.9 KB
14. Gradient descent and derivative.srt	9.1 KB
1.1 Source code - Google Colab File.html	0.1 KB
45. Evaluating the neural network.srt	8.2 KB
19. Weight update with backprogation 2.srt	8.1 KB
1.2 Homework solution.html	0.1 KB
3. Artificial neuron.srt	7.7 KB
30. Extracting pixels from images 4.srt	7.5 KB
17. Backpropagation and learning rate.srt	7.1 KB
44. Building and training the neural network.srt	7.1 KB
16. Hidden layer delta.srt	7.1 KB
29. Extracting pixels from images 3.srt	7.0 KB
42. Feature extraction with OpenCV 5.srt	6.9 KB
35. Saving and loading the network.srt	6.8 KB
40. Feature extraction with OpenCV 3.srt	6.6 KB
41. Feature extraction with OpenCV 4.srt	6.3 KB
18. Weight update with backprogation 1.srt	6.2 KB
36. Classifying one single image.srt	6.2 KB
25. Pixels and neural networks.srt	6.2 KB
38. Feature extraction with OpenCV 1.srt	6.2 KB
2. Biological fundamentals.srt	5.9 KB
15. Output layer delta.srt	5.8 KB
46. Saving, loading and classifying one single image.srt	5.6 KB
8. Activation functions.srt	5.5 KB
23. Stochastic gradient descent.srt	5.4 KB
32. Creating the train and test sets.srt	5.3 KB
9. Hidden layer activation 1.srt	5.2 KB
11. Output layer activation.srt	4.8 KB
12. Error calculation (loss function).srt	4.8 KB
22. Output layer with categorical data.srt	4.6 KB
26. Importing the libraries.srt	4.6 KB
47. HOMEWORK.html	0.6 KB
13. Basic algorithm.srt	4.3 KB
49. Additional reading.html	1.0 KB
10. Hidden layer activation 2.srt	4.2 KB
31. Normalizing the data.srt	4.0 KB
7. Introduction to multilayer neural networks.srt	3.9 KB
43. Creating the train and test sets.srt	3.9 KB
1. Plan of attack.srt	3.6 KB
24. Deep learning.srt	3.4 KB
39. Feature extraction with OpenCV 2.mp4	102.2 MB
27. Extracting pixels from images 1.mp4	70.4 MB
33. Building and training the neural network.mp4	67.3 MB
34. Evaluating the neural network.mp4	65.4 MB
20. Bias, error and multiple outputs.mp4	64.7 MB
48. Homework solution.mp4	63.2 MB
28. Extracting pixels from images 2.mp4	62.2 MB
37. Extracting features from images.mp4	59.6 MB
42. Feature extraction with OpenCV 5.mp4	59.5 MB
2. Biological fundamentals.mp4	59.4 MB
40. Feature extraction with OpenCV 3.mp4	57.3 MB
41. Feature extraction with OpenCV 4.mp4	56.3 MB
6. Weight update 2.mp4	55.5 MB
29. Extracting pixels from images 3.mp4	50.6 MB
30. Extracting pixels from images 4.mp4	49.5 MB
14. Gradient descent and derivative.mp4	48.5 MB
5. Weight update 1.mp4	44.1 MB
44. Building and training the neural network.mp4	42.0 MB
45. Evaluating the neural network.mp4	39.5 MB
35. Saving and loading the network.mp4	39.5 MB
19. Weight update with backprogation 2.mp4	37.5 MB
21. Hidden layers.mp4	37.5 MB
4. Perceptron.mp4	36.8 MB
36. Classifying one single image.mp4	35.9 MB
16. Hidden layer delta.mp4	33.8 MB
38. Feature extraction with OpenCV 1.mp4	33.2 MB
18. Weight update with backprogation 1.mp4	33.0 MB
46. Saving, loading and classifying one single image.mp4	32.9 MB
25. Pixels and neural networks.mp4	31.7 MB
22. Output layer with categorical data.mp4	27.7 MB
3. Artificial neuron.mp4	27.5 MB
23. Stochastic gradient descent.mp4	26.7 MB
43. Creating the train and test sets.mp4	25.0 MB
12. Error calculation (loss function).mp4	23.3 MB
32. Creating the train and test sets.mp4	23.1 MB
9. Hidden layer activation 1.mp4	22.6 MB
15. Output layer delta.mp4	22.5 MB
17. Backpropagation and learning rate.mp4	22.3 MB
11. Output layer activation.mp4	20.4 MB
26. Importing the libraries.mp4	19.5 MB
31. Normalizing the data.mp4	19.3 MB
10. Hidden layer activation 2.mp4	18.1 MB
8. Activation functions.mp4	15.7 MB
1. Plan of attack.mp4	13.4 MB
24. Deep learning.mp4	12.9 MB
7. Introduction to multilayer neural networks.mp4	12.1 MB
13. Basic algorithm.mp4	11.1 MB
/.../8. Neural networks for classification of emotions/
4. Building and training the neural network.srt	13.9 KB
9. Classifying emotions in videos.srt	10.7 KB
5. Saving and loading the model.srt	1.7 KB
7. Classifying one single image.srt	8.0 KB
8. Classifying multiple images.srt	7.7 KB
11. Homework solution.srt	6.1 KB
2. Importing the libraries and images.srt	5.8 KB
6. Evaluating the neural network.srt	5.4 KB
3. Creating the train and test dataset.srt	4.4 KB
1. Plan of attack.srt	4.0 KB
10. HOMEWORK.html	0.7 KB
12. Additional reading.html	0.6 KB
1.1 Homerwork solution.html	0.1 KB
1.2 Source code - Google Colab File.html	0.1 KB
4. Building and training the neural network.mp4	118.6 MB
9. Classifying emotions in videos.mp4	93.8 MB
8. Classifying multiple images.mp4	69.4 MB
7. Classifying one single image.mp4	45.2 MB
11. Homework solution.mp4	40.6 MB
2. Importing the libraries and images.mp4	39.9 MB
6. Evaluating the neural network.mp4	31.8 MB
1. Plan of attack.mp4	31.4 MB
3. Creating the train and test dataset.mp4	27.2 MB
5. Saving and loading the model.mp4	15.8 MB
/.../6. Convolutional neural networks for image classification/
10. Building and training the neural network.srt	13.8 KB
9. Creating the train and test dataset.srt	11.3 KB
15. Homework solution.srt	10.3 KB
3. Convolutional operation.srt	9.9 KB
11. Evaluating the neural network.srt	8.3 KB
2. Introduction to convolutional neural networks.srt	7.6 KB
5. Flattening.srt	6.9 KB
13. Classifying one single image.srt	6.6 KB
4. Pooling.srt	5.6 KB
6. Dense neural network.srt	5.3 KB
8. Loading the images.srt	4.6 KB
1. Plan of attack.srt	2.3 KB
1.1 Homework solution.html	0.1 KB
1.2 Source code - Google Colab File.html	0.1 KB
7. Importing the libraries.srt	3.7 KB
12. Saving and loading the network.srt	2.8 KB
14. HOMEWORK.html	0.8 KB
16. Additional reading.html	1.1 KB
10. Building and training the neural network.mp4	90.0 MB
9. Creating the train and test dataset.mp4	72.6 MB
15. Homework solution.mp4	72.3 MB
5. Flattening.mp4	60.7 MB
11. Evaluating the neural network.mp4	54.9 MB
2. Introduction to convolutional neural networks.mp4	54.4 MB
6. Dense neural network.mp4	42.2 MB
3. Convolutional operation.mp4	38.9 MB
13. Classifying one single image.mp4	30.1 MB
8. Loading the images.mp4	30.1 MB
4. Pooling.mp4	24.1 MB
7. Importing the libraries.mp4	20.5 MB
12. Saving and loading the network.mp4	19.5 MB
1. Plan of attack.mp4	8.5 MB
/4. Object tracking/
4. Object tracking with KCF.srt	13.2 KB
5. Object tracking with CSRT.srt	2.2 KB
6. HOMEWORK.html	0.5 KB
8. Additional reading.html	0.8 KB
3. KCF and CSRT algorithms.srt	6.8 KB
2. Object tracking vs. object detection.srt	5.4 KB
7. Homework solution.srt	4.5 KB
1. Plan of attack.srt	4.4 KB
4. Object tracking with KCF.mp4	105.7 MB
3. KCF and CSRT algorithms.mp4	51.8 MB
7. Homework solution.mp4	48.6 MB
2. Object tracking vs. object detection.mp4	30.1 MB
1. Plan of attack.mp4	27.6 MB
5. Object tracking with CSRT.mp4	23.2 MB
/.../7. Transfer learning and fine tuning/
5. Pre-trained neural network.srt	12.3 KB
13. Homework solution.srt	10.0 KB
6. Creating the custom dense layer.srt	7.7 KB
2. Transfer learning – intuition.srt	6.6 KB
7. Building and training the neural network.srt	6.2 KB
8. Evaluating the neural network.srt	5.8 KB
10. Fine tuning – implementation and evaluation.srt	5.7 KB
3. Importing the libraries and dataset.srt	5.3 KB
4. Creating the train and test dataset.srt	3.9 KB
11. Saving, loading and classifying one single image.srt	3.2 KB
1. Plan of attack.srt	2.4 KB
1.1 Source code - Google Colab File.html	0.1 KB
1.2 Homework solution.html	0.1 KB
9. Fine tuning – intuition.srt	2.7 KB
12. HOMEWORK.html	0.7 KB
14. Additional reading.html	0.6 KB
5. Pre-trained neural network.mp4	103.5 MB
13. Homework solution.mp4	69.7 MB
6. Creating the custom dense layer.mp4	51.2 MB
7. Building and training the neural network.mp4	48.9 MB
10. Fine tuning – implementation and evaluation.mp4	48.0 MB
2. Transfer learning – intuition.mp4	38.8 MB
8. Evaluating the neural network.mp4	34.5 MB
3. Importing the libraries and dataset.mp4	32.3 MB
4. Creating the train and test dataset.mp4	22.3 MB
11. Saving, loading and classifying one single image.mp4	20.6 MB
9. Fine tuning – intuition.mp4	15.5 MB
1. Plan of attack.mp4	10.5 MB
/.../12. Deep dream/
3. Loading the InceptionNet network.srt	11.8 KB
7. Gradient ascent 1.srt	8.8 KB
4. Loading and preprocessing the image.srt	8.6 KB
9. Generating images.srt	7.6 KB
6. Calculating the loss.srt	7.0 KB
2. Deep dream – intuition.srt	6.4 KB
5. Getting the activations.srt	6.2 KB
8. Gradient ascent 2.srt	4.5 KB
1. Plan of attack.srt	3.1 KB
11. Homework solution.srt	2.8 KB
10. HOMEWORK.html	0.5 KB
12. Additional reading.html	0.4 KB
1.1 Source code - Google Colab File.html	0.1 KB
9. Generating images.mp4	94.7 MB
3. Loading the InceptionNet network.mp4	79.5 MB
7. Gradient ascent 1.mp4	46.9 MB
4. Loading and preprocessing the image.mp4	46.8 MB
6. Calculating the loss.mp4	43.7 MB
5. Getting the activations.mp4	39.0 MB
2. Deep dream – intuition.mp4	37.0 MB
8. Gradient ascent 2.mp4	28.7 MB
1. Plan of attack.mp4	26.6 MB
11. Homework solution.mp4	23.3 MB
/.../15. Image segmentation/
7. Removing the background 1.srt	11.3 KB
4. Importing the libraries.srt	10.5 KB
6. Detecting objects.srt	10.2 KB
2. Image segmentation – intuition.srt	9.2 KB
5. Loading the pre-trained neural network.srt	8.9 KB
9. Segmentation in videos 1.srt	8.4 KB
8. Removing the background 2.srt	5.8 KB
1. Plan of attack.srt	5.6 KB
10. Segmentation in videos 2.srt	5.2 KB
3. Downloading the repository.srt	3.8 KB
12. Homerwork solution.srt	2.9 KB
13. Additional reading.html	0.7 KB
11. HOMEWORK.html	0.4 KB
1.1 Source code - Google Colab File.html	0.1 KB
7. Removing the background 1.mp4	111.4 MB
6. Detecting objects.mp4	104.9 MB
4. Importing the libraries.mp4	80.5 MB
2. Image segmentation – intuition.mp4	65.0 MB
9. Segmentation in videos 1.mp4	59.0 MB
5. Loading the pre-trained neural network.mp4	56.2 MB
8. Removing the background 2.mp4	46.6 MB
10. Segmentation in videos 2.mp4	46.3 MB
1. Plan of attack.mp4	35.3 MB
12. Homerwork solution.mp4	32.1 MB
3. Downloading the repository.mp4	25.5 MB
/.../10. Object detection with YOLO/
4. Testing the detector.srt	9.8 KB
5. Darknet and GPU.srt	8.0 KB
6. Threshold and ext_output parameters.srt	7.5 KB
7. Detecting objects in videos.srt	7.1 KB
2. YOLO – intuition.srt	6.0 KB
3. Downloading and compiling Darknet.srt	5.9 KB
9. Homework solution.srt	2.2 KB
1. Plan of attack.srt	2.4 KB
10. Additional reading.html	0.6 KB
8. HOMEWORK.html	0.4 KB
1.1 Source code - Google Colab File.html	0.1 KB
6. Threshold and ext_output parameters.mp4	92.2 MB
4. Testing the detector.mp4	85.4 MB
5. Darknet and GPU.mp4	73.9 MB
7. Detecting objects in videos.mp4	65.2 MB
3. Downloading and compiling Darknet.mp4	40.1 MB
2. YOLO – intuition.mp4	30.1 MB
9. Homework solution.mp4	28.6 MB
1. Plan of attack.mp4	15.0 MB
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60	764.6 KB
61	876.8 KB
62	16.7 KB
63	314.0 KB
64	755.8 KB
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66	940.7 KB
67	91.3 KB
68	128.7 KB
69	221.3 KB
70	340.7 KB
71	448.0 KB
72	775.0 KB
73	380.6 KB
74	527.7 KB
75	339.3 KB
76	441.8 KB
77	930.6 KB
78	102.1 KB
79	679.5 KB
80	142.0 KB
81	1.0 MB
82	594.5 KB
83	123.0 KB
84	142.1 KB
85	797.6 KB
86	910.4 KB
87	804.6 KB
88	375.4 KB
89	379.1 KB
90	642.9 KB
91	761.1 KB
92	247.1 KB
93	311.3 KB
94	383.2 KB
95	581.4 KB
96	890.6 KB
97	910.4 KB
98	740.8 KB
99	974.3 KB
100	375.4 KB
101	815.6 KB
102	142.7 KB
103	443.6 KB
104	816.5 KB
105	839.5 KB
106	1.0 MB
107	270.3 KB
108	308.3 KB
109	835.1 KB
110	1.0 MB
111	360.8 KB
112	366.8 KB
113	404.6 KB
114	557.2 KB
115	828.3 KB
116	942.2 KB
117	1.0 MB
118	183.4 KB
119	703.1 KB
120	140.1 KB
121	251.0 KB
122	285.8 KB
123	572.3 KB
124	797.2 KB
125	911.4 KB
126	760.4 KB
127	390.0 KB
128	108.3 KB
129	109.5 KB
130	562.3 KB
131	670.4 KB
132	764.5 KB
133	310.4 KB
134	384.6 KB
135	591.6 KB
136	606.2 KB
137	199.4 KB
138	428.0 KB
139	734.6 KB
140	756.6 KB
141	58.9 KB
142	782.2 KB
143	125.5 KB
144	304.4 KB
145	329.5 KB
146	351.3 KB
147	354.9 KB
148	111.4 KB
149	631.5 KB
150	734.3 KB
151	900.9 KB
152	584.4 KB
153	746.8 KB
154	779.9 KB
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156	62.4 KB
157	531.0 KB
158	632.9 KB
159	877.4 KB
160	751.8 KB
161	144.2 KB
162	1.0 MB
163	783.2 KB
164	863.3 KB
165	907.9 KB
166	13.2 KB
167	278.3 KB
168	442.1 KB
169	560.8 KB
170	778.7 KB
171	787.7 KB
172	19.7 KB
173	340.9 KB
174	430.1 KB
175	600.4 KB
176	447.7 KB
177	461.6 KB
178	590.1 KB
179	696.5 KB
180	316.6 KB
181	753.5 KB
182	1.0 MB
183	1.0 MB
184	987.4 KB
185	46.6 KB
186	181.9 KB
187	435.1 KB
188	761.9 KB
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190	234.3 KB
191	778.4 KB
192	434.7 KB
193	432.5 KB
194	24.6 KB
195	132.4 KB
/.../16. Final remarks/
1. Final remarks.srt	2.7 KB
1. Final remarks.mp4	18.6 MB
Total files 643