Название	Computer Vision Masterclass
Тип
Размер	9.81Гб

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[TGx]Downloaded from torrentgalaxy.to .txt	585б
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1.1 Homerwork solution.html	146б
1.1 Homework solution.html	146б
1.1 Homework solution.html	146б
1.1 Source code - Google Colab File.html	146б
1.1 Source code - Google Colab File.html	146б
1.1 Source code - Google Colab File.html	146б
1.1 Source code - Google Colab File.html	146б
1.1 Source code - Google Colab File.html	146б
1.1 Source code - Google Colab File.html	146б
1.1 Source code - Google Colab File.html	146б
1.1 Source code - Google Colab File.html	146б
1.1 Source code - Google Colab File.html	146б
1.1 Source code - Google Colab File.html	146б
1.2 Homework solution.html	146б
1.2 Homework solution.html	146б
1.2 Homework solution.html	146б
1.2 Source code - Google Colab File.html	146б
1.2 Source code - Google Colab File.html	146б
1.2 Source code - Google Colab File.html	146б
1. Course content.mp4	102.89Мб
1. Course content.srt	12.46Кб
1. Final remarks.mp4	17.70Мб
1. Final remarks.srt	2.68Кб
1. Plan of attack.mp4	33.63Мб
1. Plan of attack.mp4	32.36Мб
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1. Plan of attack.srt	5.46Кб
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10. Additional reading.html	566б
10. Building and training the neural network.mp4	85.79Мб
10. Building and training the neural network.srt	13.43Кб
10. Convolutional autoencoders 1.mp4	37.47Мб
10. Convolutional autoencoders 1.srt	6.40Кб
10. Detecting facial points.mp4	97.90Мб
10. Detecting facial points.srt	10.39Кб
10. Fine tuning – implementation and evaluation.mp4	45.76Мб
10. Fine tuning – implementation and evaluation.srt	5.58Кб
10. Hidden layer activation 2.mp4	17.28Мб
10. Hidden layer activation 2.srt	4.13Кб
10. HOMEWORK.html	670б
10. HOMEWORK.html	601б
10. HOMEWORK.html	542б
10. HOMEWORK.html	476б
10. Homework solution.mp4	17.01Мб
10. Homework solution.srt	2.18Кб
10. Segmentation in videos 2.mp4	44.15Мб
10. Segmentation in videos 2.srt	5.12Кб
10. Training the neural network 2.mp4	120.81Мб
10. Training the neural network 2.srt	13.26Кб
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11. Convolutional autoencoders 2.mp4	126.74Мб
11. Convolutional autoencoders 2.srt	16.85Кб
11. Detecting facial descriptors 1.mp4	104.80Мб
11. Detecting facial descriptors 1.srt	13.22Кб
11. Evaluating the neural network.mp4	52.35Мб
11. Evaluating the neural network.srt	8.15Кб
11. HOG (Histrograms of Oriented Gradients) – intuition.mp4	73.12Мб
11. HOG (Histrograms of Oriented Gradients) – intuition.srt	10.86Кб
11. Homerwork solution.mp4	37.61Мб
11. Homerwork solution.srt	4.28Кб
11. HOMEWORK.html	405б
11. Homework solution.mp4	41.22Мб
11. Homework solution.mp4	38.74Мб
11. Homework solution.mp4	22.18Мб
11. Homework solution.srt	5.92Кб
11. Homework solution.srt	4.15Кб
11. Homework solution.srt	2.70Кб
11. Output layer activation.mp4	19.43Мб
11. Output layer activation.srt	4.73Кб
11. Saving, loading and classifying one single image.mp4	19.67Мб
11. Saving, loading and classifying one single image.srt	3.13Кб
11. Visualizing the result.mp4	32.90Мб
11. Visualizing the result.srt	3.41Кб
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12. Additional reading.html	903б
12. Additional reading.html	642б
12. Additional reading.html	515б
12. Additional reading.html	381б
12. Convolutional autoencoders 3.mp4	64.81Мб
12. Convolutional autoencoders 3.srt	7.15Кб
12. Detecting facial descriptors 2.mp4	124.79Мб
12. Detecting facial descriptors 2.srt	14.35Кб
12. Error calculation (loss function).mp4	22.25Мб
12. Error calculation (loss function).srt	4.68Кб
12. Face detection with HOG and Dlib.mp4	75.01Мб
12. Face detection with HOG and Dlib.srt	10.30Кб
12. Homerwork solution.mp4	30.59Мб
12. Homerwork solution.srt	2.85Кб
12. HOMEWORK.html	744б
12. HOMEWORK.html	517б
12. Saving and loading the network.mp4	18.56Мб
12. Saving and loading the network.srt	2.74Кб
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13. Additional reading.html	693б
13. Basic algorithm.mp4	10.59Мб
13. Basic algorithm.srt	4.21Кб
13. Calculating distances between faces.mp4	119.32Мб
13. Calculating distances between faces.srt	12.45Кб
13. Classifying one single image.mp4	28.71Мб
13. Classifying one single image.srt	6.41Кб
13. Convolutional autoencoders 4.mp4	60.49Мб
13. Convolutional autoencoders 4.srt	8.19Кб
13. Face detection with CNN and Dlib.mp4	36.83Мб
13. Face detection with CNN and Dlib.srt	5.38Кб
13. Homework solution.mp4	66.45Мб
13. Homework solution.mp4	40.86Мб
13. Homework solution.srt	9.72Кб
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14. Additional reading.html	582б
14. Additional reading.html	555б
14. Gradient descent and derivative.mp4	46.27Мб
14. Gradient descent and derivative.srt	8.93Кб
14. HOMEWORK.html	751б
14. HOMEWORK.html	819б
14. HOMEWORK – Haarcascade x HOG x CNN.html	537б
14. Recognizing faces with Dlib 1.mp4	87.22Мб
14. Recognizing faces with Dlib 1.srt	10.33Кб
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15. Homework solution.mp4	94.26Мб
15. Homework solution.mp4	68.98Мб
15. Homework solution.mp4	36.33Мб
15. Homework solution.srt	11.12Кб
15. Homework solution.srt	10.03Кб
15. Homework solution.srt	4.97Кб
15. Output layer delta.mp4	21.47Мб
15. Output layer delta.srt	5.62Кб
15. Recognizing faces with Dlib 2.mp4	28.88Мб
15. Recognizing faces with Dlib 2.srt	3.62Кб
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16. Additional reading.html	1.05Кб
16. Additional reading.html	712б
16. Anaconda and PyCharm.mp4	14.27Мб
16. Anaconda and PyCharm.srt	3.29Кб
16. Hidden layer delta.mp4	32.27Мб
16. Hidden layer delta.srt	6.94Кб
16. HOMEWORK.html	637б
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17. Backpropagation and learning rate.mp4	21.25Мб
17. Backpropagation and learning rate.srt	6.96Кб
17. Face detection on the webcam.mp4	59.25Мб
17. Face detection on the webcam.srt	7.66Кб
17. Homework solution.mp4	42.29Мб
17. Homework solution.srt	5.61Кб
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18. Additional reading.html	1.18Кб
18. Face recognition on the webcam.mp4	40.58Мб
18. Face recognition on the webcam.srt	4.83Кб
18. Weight update with backprogation 1.mp4	31.44Мб
18. Weight update with backprogation 1.srt	6.09Кб
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19. Additional reading.html	1.15Кб
19. Weight update with backprogation 2.mp4	35.76Мб
19. Weight update with backprogation 2.srt	7.89Кб
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2. Autoencoders – intuition.mp4	27.89Мб
2. Autoencoders – intuition.srt	6.92Кб
2. Biological fundamentals.mp4	56.68Мб
2. Biological fundamentals.srt	5.72Кб
2. Deep dream – intuition.mp4	35.24Мб
2. Deep dream – intuition.srt	6.29Кб
2. GANs – intuition.mp4	61.19Мб
2. GANs – intuition.srt	10.80Кб
2. Gestures and actions recognition – intuition.mp4	59.70Мб
2. Gestures and actions recognition – intuition.srt	6.73Кб
2. Google Drive folder.html	357б
2. Images and pixels.mp4	29.25Мб
2. Images and pixels.srt	4.11Кб
2. Image segmentation – intuition.mp4	61.98Мб
2. Image segmentation – intuition.srt	9.02Кб
2. Importing the libraries and images.mp4	38.01Мб
2. Importing the libraries and images.srt	5.66Кб
2. Introduction to convolutional neural networks.mp4	51.86Мб
2. Introduction to convolutional neural networks.srt	7.40Кб
2. LBPH algorithm - intuition.mp4	35.87Мб
2. LBPH algorithm - intuition.srt	8.49Кб
2. Object tracking vs. object detection.mp4	28.66Мб
2. Object tracking vs. object detection.srt	5.26Кб
2. Style transfer – intuition.mp4	40.20Мб
2. Style transfer – intuition.srt	5.60Кб
2. Transfer learning – intuition.mp4	37.04Мб
2. Transfer learning – intuition.srt	6.45Кб
2. YOLO – intuition.mp4	28.69Мб
2. YOLO – intuition.srt	5.89Кб
20	255.91Кб
20. Bias, error and multiple outputs.mp4	61.68Мб
20. Bias, error and multiple outputs.srt	11.07Кб
21	760.19Кб
21. Hidden layers.mp4	35.73Мб
21. Hidden layers.srt	11.35Кб
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22. Output layer with categorical data.mp4	26.44Мб
22. Output layer with categorical data.srt	4.52Кб
23	724.46Кб
23. Stochastic gradient descent.mp4	25.49Мб
23. Stochastic gradient descent.srt	5.29Кб
24	531.62Кб
24. Deep learning.mp4	12.26Мб
24. Deep learning.srt	3.29Кб
25	90.78Кб
25. Pixels and neural networks.mp4	30.28Мб
25. Pixels and neural networks.srt	6.04Кб
26	795.18Кб
26. Importing the libraries.mp4	18.57Мб
26. Importing the libraries.srt	4.45Кб
27	216.17Кб
27. Extracting pixels from images 1.mp4	67.13Мб
27. Extracting pixels from images 1.srt	10.72Кб
28	681.01Кб
28. Extracting pixels from images 2.mp4	59.28Мб
28. Extracting pixels from images 2.srt	9.63Кб
29	731.11Кб
29. Extracting pixels from images 3.mp4	48.24Мб
29. Extracting pixels from images 3.srt	6.82Кб
3	195.53Кб
3. Artificial neuron.mp4	26.24Мб
3. Artificial neuron.srt	7.50Кб
3. Cascade classifier - intuition.mp4	82.29Мб
3. Cascade classifier - intuition.srt	8.82Кб
3. Convolutional operation.mp4	37.10Мб
3. Convolutional operation.srt	9.68Кб
3. Creating the train and test dataset.mp4	25.94Мб
3. Creating the train and test dataset.srt	4.27Кб
3. Downloading and compiling Darknet.mp4	38.20Мб
3. Downloading and compiling Darknet.srt	5.79Кб
3. Downloading the repository.mp4	24.28Мб
3. Downloading the repository.srt	3.74Кб
3. Importing the libraries and dataset.mp4	32.46Мб
3. Importing the libraries and dataset.mp4	30.81Мб
3. Importing the libraries and dataset.srt	5.73Кб
3. Importing the libraries and dataset.srt	5.21Кб
3. Importing the libraries and the image.mp4	56.57Мб
3. Importing the libraries and the image.srt	8.02Кб
3. KCF and CSRT algorithms.mp4	49.43Мб
3. KCF and CSRT algorithms.srt	6.68Кб
3. Loading the dataset.mp4	95.75Мб
3. Loading the dataset.srt	13.57Кб
3. Loading the faces dataset.mp4	59.10Мб
3. Loading the faces dataset.srt	8.77Кб
3. Loading the InceptionNet network.mp4	75.84Мб
3. Loading the InceptionNet network.srt	11.50Кб
3. Loading VGG19 network.mp4	38.71Мб
3. Loading VGG19 network.srt	5.73Кб
30	546.46Кб
30. Extracting pixels from images 4.mp4	47.23Мб
30. Extracting pixels from images 4.srt	7.35Кб
31	510.90Кб
31. Normalizing the data.mp4	18.44Мб
31. Normalizing the data.srt	3.95Кб
32	735.83Кб
32. Creating the train and test sets.mp4	21.99Мб
32. Creating the train and test sets.srt	5.20Кб
33	265.93Кб
33. Building and training the neural network.mp4	64.21Мб
33. Building and training the neural network.srt	11.76Кб
34	166.08Кб
34. Evaluating the neural network.mp4	62.39Мб
34. Evaluating the neural network.srt	11.95Кб
35	951.13Кб
35. Saving and loading the network.mp4	37.65Мб
35. Saving and loading the network.srt	6.67Кб
36	1009.02Кб
36. Classifying one single image.mp4	34.27Мб
36. Classifying one single image.srt	6.05Кб
37	903.04Кб
37. Extracting features from images.mp4	56.88Мб
37. Extracting features from images.srt	11.10Кб
38	135.55Кб
38. Feature extraction with OpenCV 1.mp4	31.63Мб
38. Feature extraction with OpenCV 1.srt	6.02Кб
39	621.48Кб
39. Feature extraction with OpenCV 2.mp4	97.49Мб
39. Feature extraction with OpenCV 2.srt	14.14Кб
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4. Building and training the neural network.mp4	113.09Мб
4. Building and training the neural network.srt	13.55Кб
4. Building the generator 1.mp4	106.83Мб
4. Building the generator 1.srt	15.01Кб
4. Creating the train and test dataset.mp4	21.26Мб
4. Creating the train and test dataset.srt	3.78Кб
4. Importing the libraries.mp4	76.74Мб
4. Importing the libraries.srt	10.26Кб
4. Loading and preprocessing the image.mp4	44.63Мб
4. Loading and pre-processing the image.mp4	77.28Мб
4. Loading and preprocessing the image.srt	8.40Кб
4. Loading and pre-processing the image.srt	11.42Кб
4. Loading and pre-processing the images.mp4	59.98Мб
4. Loading and pre-processing the images.srt	10.13Кб
4. Loading the pre-trained neural network.mp4	27.14Мб
4. Loading the pre-trained neural network.srt	4.39Кб
4. Object tracking with KCF.mp4	100.81Мб
4. Object tracking with KCF.srt	12.88Кб
4. Perceptron.mp4	35.13Мб
4. Perceptron.srt	10.07Кб
4. Pooling.mp4	23.02Мб
4. Pooling.srt	5.45Кб
4. Preprocessing the images.mp4	98.38Мб
4. Preprocessing the images.srt	14.00Кб
4. Testing the detector.mp4	81.47Мб
4. Testing the detector.srt	9.53Кб
4. Visualizing the images.mp4	60.16Мб
4. Visualizing the images.srt	8.43Кб
40	398.82Кб
40. Feature extraction with OpenCV 3.mp4	54.64Мб
40. Feature extraction with OpenCV 3.srt	6.47Кб
41	544.84Кб
41. Feature extraction with OpenCV 4.mp4	53.68Мб
41. Feature extraction with OpenCV 4.srt	6.17Кб
42	784.15Кб
42. Feature extraction with OpenCV 5.mp4	56.79Мб
42. Feature extraction with OpenCV 5.srt	6.71Кб
43	21.94Кб
43. Creating the train and test sets.mp4	23.86Мб
43. Creating the train and test sets.srt	3.83Кб
44	645.24Кб
44. Building and training the neural network.mp4	40.03Мб
44. Building and training the neural network.srt	6.96Кб
45	892.80Кб
45. Evaluating the neural network.mp4	37.66Мб
45. Evaluating the neural network.srt	8.04Кб
46	558.86Кб
46. Saving, loading and classifying one single image.mp4	31.42Мб
46. Saving, loading and classifying one single image.srt	5.49Кб
47	856.05Кб
47. HOMEWORK.html	591б
48	49.45Кб
48. Homework solution.mp4	60.27Мб
48. Homework solution.srt	9.87Кб
49	198.84Кб
49. Additional reading.html	1.00Кб
5	932.56Кб
5. Building the generator 2.mp4	48.88Мб
5. Building the generator 2.srt	6.70Кб
5. Building the neural network 1.mp4	108.26Мб
5. Building the neural network 1.srt	15.27Кб
5. Darknet and GPU.mp4	70.47Мб
5. Darknet and GPU.srt	7.82Кб
5. Face detection with Haarcascade and OpenCV.mp4	108.63Мб
5. Face detection with Haarcascade and OpenCV.srt	12.04Кб
5. Flattening.mp4	57.91Мб
5. Flattening.srt	6.71Кб
5. Getting the activations.mp4	37.21Мб
5. Getting the activations.srt	6.05Кб
5. Loading the pre-trained neural network.mp4	53.58Мб
5. Loading the pre-trained neural network.srt	8.71Кб
5. Object tracking with CSRT.mp4	22.13Мб
5. Object tracking with CSRT.srt	2.13Кб
5. Predicting body points 1.mp4	121.48Мб
5. Predicting body points 1.srt	15.77Кб
5. Preprocessing the images.mp4	26.26Мб
5. Preprocessing the images.srt	5.25Кб
5. Pre-trained neural network.mp4	98.67Мб
5. Pre-trained neural network.srt	12.04Кб
5. Saving and loading the model.mp4	15.06Мб
5. Saving and loading the model.srt	1.70Кб
5. Training the LBPH classifier.mp4	21.73Мб
5. Training the LBPH classifier.srt	3.99Кб
5. Weight update 1.mp4	42.07Мб
5. Weight update 1.srt	12.06Кб
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6. Building and training a linear autoencoder.mp4	61.57Мб
6. Building and training a linear autoencoder.srt	10.47Кб
6. Building the discriminator.mp4	64.64Мб
6. Building the discriminator.srt	9.55Кб
6. Building the neural network 2.mp4	79.50Мб
6. Building the neural network 2.srt	9.92Кб
6. Calculating the loss.mp4	41.64Мб
6. Calculating the loss.srt	6.84Кб
6. Creating the custom dense layer.mp4	48.86Мб
6. Creating the custom dense layer.srt	7.54Кб
6. Dense neural network.mp4	40.22Мб
6. Dense neural network.srt	5.17Кб
6. Detecting objects.mp4	100.05Мб
6. Detecting objects.srt	9.96Кб
6. Evaluating the neural network.mp4	30.30Мб
6. Evaluating the neural network.srt	5.26Кб
6. Haarcascades parameters 1.mp4	83.33Мб
6. Haarcascades parameters 1.srt	6.77Кб
6. HOMEWORK.html	487б
6. Predicting body points 2.mp4	46.64Мб
6. Predicting body points 2.srt	4.53Кб
6. Recognizing faces with LBPH.mp4	48.13Мб
6. Recognizing faces with LBPH.srt	7.32Кб
6. Threshold and ext_output parameters.mp4	87.91Мб
6. Threshold and ext_output parameters.srt	7.28Кб
6. Weight update 2.mp4	52.90Мб
6. Weight update 2.srt	13.98Кб
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7. Building and training the neural network.mp4	46.64Мб
7. Building and training the neural network.srt	6.10Кб
7. Building the neural network 3.mp4	92.60Мб
7. Building the neural network 3.srt	13.10Кб
7. Calculating the loss.mp4	51.01Мб
7. Calculating the loss.srt	7.67Кб
7. Classifying one single image.mp4	43.13Мб
7. Classifying one single image.srt	7.82Кб
7. Detecting gestures in images.mp4	107.97Мб
7. Detecting gestures in images.srt	10.52Кб
7. Detecting objects in videos.mp4	62.16Мб
7. Detecting objects in videos.srt	6.97Кб
7. Encoding the images.mp4	54.50Мб
7. Encoding the images.srt	7.67Кб
7. Evaluating the LBPH classifier.mp4	70.61Мб
7. Evaluating the LBPH classifier.srt	9.86Кб
7. Gradient ascent 1.mp4	44.70Мб
7. Gradient ascent 1.srt	8.58Кб
7. Haarcascades parameters 2.mp4	104.87Мб
7. Haarcascades parameters 2.srt	8.49Кб
7. Homework solution.mp4	46.39Мб
7. Homework solution.srt	4.36Кб
7. Importing the libraries.mp4	19.59Мб
7. Importing the libraries.srt	3.57Кб
7. Introduction to multilayer neural networks.mp4	11.59Мб
7. Introduction to multilayer neural networks.srt	3.84Кб
7. Removing the background 1.mp4	106.25Мб
7. Removing the background 1.srt	11.07Кб
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8	30.14Кб
8. Activation functions.mp4	14.96Мб
8. Activation functions.srt	5.36Кб
8. Additional reading.html	791б
8. Building the neural network 4.mp4	71.87Мб
8. Building the neural network 4.srt	9.91Кб
8. Classifying multiple images.mp4	66.16Мб
8. Classifying multiple images.srt	7.54Кб
8. Decoding the images.mp4	53.11Мб
8. Decoding the images.srt	7.85Кб
8. Detecting gestures in videos 1.mp4	35.45Мб
8. Detecting gestures in videos 1.srt	5.74Кб
8. Evaluating the neural network.mp4	32.90Мб
8. Evaluating the neural network.srt	5.68Кб
8. Eye detection with haarcascades.mp4	130.24Мб
8. Eye detection with haarcascades.srt	9.54Кб
8. Gradient ascent 2.mp4	27.40Мб
8. Gradient ascent 2.srt	4.44Кб
8. HOMEWORK.html	447б
8. LBPH parameters.mp4	20.98Мб
8. LBPH parameters.srt	4.23Кб
8. Loading the images.mp4	28.66Мб
8. Loading the images.srt	4.46Кб
8. Removing the background 2.mp4	44.45Мб
8. Removing the background 2.srt	5.64Кб
8. Training the GAN 1.mp4	71.39Мб
8. Training the GAN 1.srt	11.01Кб
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9. Classifying emotions in videos.mp4	89.48Мб
9. Classifying emotions in videos.srt	10.40Кб
9. Creating the train and test dataset.mp4	69.23Мб
9. Creating the train and test dataset.srt	11.03Кб
9. Detecting gestures in videos 2.mp4	64.95Мб
9. Detecting gestures in videos 2.srt	6.12Кб
9. Encoding and decoding the test images.mp4	62.15Мб
9. Encoding and decoding the test images.srt	8.61Кб
9. Fine tuning – intuition.mp4	14.83Мб
9. Fine tuning – intuition.srt	2.67Кб
9. Generating images.mp4	90.29Мб
9. Generating images.srt	7.38Кб
9. Hidden layer activation 1.mp4	21.58Мб
9. Hidden layer activation 1.srt	5.07Кб
9. HOMERWORK – detecting other objects.html	616б
9. Homework solution.mp4	27.30Мб
9. Homework solution.srt	2.14Кб
9. LBPH parameters – implementation.mp4	31.70Мб
9. LBPH parameters – implementation.srt	3.94Кб
9. Segmentation in videos 1.mp4	56.26Мб
9. Segmentation in videos 1.srt	8.19Кб
9. Training the GAN 2.mp4	67.37Мб
9. Training the GAN 2.srt	10.35Кб
9. Training the neural network 1.mp4	75.07Мб
9. Training the neural network 1.srt	14.05Кб
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99	951.44Кб
TutsNode.com.txt	63б

Melanie Mitchell - Artificial Intelligence; A Guide for Thinking Humans	530.45Мб
Mike Oldfield - Discovery (1984) Flac	240.37Мб
CBT.Shell_Perl_PHP_Python_Scripting	1.08Гб
100 Days of Code - The Complete Python Pro Bootcamp for 2021	34.43Гб
Роковой патруль (Doom.Patrol.S03E02.WEB.x264-TORRENTGALAXY[TGx])	239.86Мб
Arthur C. Clarke - 2014 - The Garden of Rama (Sci-Fi)	471.82Мб
Pink Floyd - Wish You Were Here (1975) 2011, SACD	270.50Мб
Hands-On Data Visualization Interactive Storytellin.pdf	74.92Мб
Computer Vision-Theory & Projects in Python for Beginners	10.93Гб
Creedence Clearwater Revival - Willy And The Poorboys (1969) (PBTHAL LP 24-96) [FLAC] vtwin88cube	727.67Мб

Россия (RU)	2
Беларусь (BY)	1
Китай (CN)	1
Зимбабве (ZW)	1
Босния (BA)	1
Южная Корея (KR)	1
Индия (IN)	1
Всего	8
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