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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
26б |
| 1 |
634б |
| 1. Face Recognition Project Overview.mp4 |
11.38Мб |
| 1. Face Recognition Project Overview-en_US.srt |
2.48Кб |
| 1. Installing Flask and Visual Studio Code.mp4 |
34.87Мб |
| 1. Installing Flask and Visual Studio Code-en_US.srt |
6.71Кб |
| 1. Introduction.mp4 |
21.34Мб |
| 1. Introduction.mp4 |
20.40Мб |
| 1. Introduction-en_US.srt |
2.14Кб |
| 1. Introduction-en_US.srt |
3.18Кб |
| 1. Machine Learning Pipeline Architecture.mp4 |
8.00Мб |
| 1. Machine Learning Pipeline Architecture-en_US.srt |
1.70Кб |
| 1. Walk through on Jupyter Notebook.mp4 |
193.10Мб |
| 1. Walk through on Jupyter Notebook-en_US.srt |
23.34Кб |
| 10 |
834.01Кб |
| 10. Http Methods in Flask.mp4 |
53.90Мб |
| 10. Http Methods in Flask-en_US.srt |
11.75Кб |
| 10. Machine Learning - SVM based Face Recognition Model.mp4 |
58.65Мб |
| 10. Machine Learning - SVM based Face Recognition Model-en_US.srt |
5.29Кб |
| 10. Sets.mp4 |
10.76Мб |
| 10. Sets-en_US.srt |
4.48Кб |
| 11 |
796.66Кб |
| 11. Dictionaries.mp4 |
68.02Мб |
| 11. Dictionaries-en_US.srt |
11.86Кб |
| 11. File Upload in Flask.mp4 |
76.74Мб |
| 11. File Upload in Flask-en_US.srt |
15.67Кб |
| 11. Machine Learning - Model Evaluation.mp4 |
108.61Мб |
| 11. Machine Learning - Model Evaluation-en_US.srt |
16.70Кб |
| 12 |
502.72Кб |
| 12. in operator.mp4 |
7.64Мб |
| 12. in operator-en_US.srt |
3.42Кб |
| 12. Machine Learning - Grid Search (Tuning Model).mp4 |
50.78Мб |
| 12. Machine Learning - Grid Search (Tuning Model)-en_US.srt |
5.15Кб |
| 13 |
402.73Кб |
| 13. Machine Learning - Grid Search (Tuning Model) - part2.mp4 |
51.31Мб |
| 13. Machine Learning - Grid Search (Tuning Model) - part2-en_US.srt |
4.97Кб |
| 13. plus operator.mp4 |
11.25Мб |
| 13. plus operator-en_US.srt |
3.68Кб |
| 14 |
770.33Кб |
| 14. Machine Learning - Pipeline the Flow of Models.mp4 |
449.26Мб |
| 14. Machine Learning - Pipeline the Flow of Models-en_US.srt |
24.69Кб |
| 14. User Defined Functions.mp4 |
28.89Мб |
| 14. User Defined Functions-en_US.srt |
9.75Кб |
| 15 |
931.37Кб |
| 15. Control Statements (if else).mp4 |
27.29Мб |
| 15. Control Statements (if else)-en_US.srt |
8.16Кб |
| 16 |
987.22Кб |
| 16. Range & Zip.mp4 |
33.76Мб |
| 16. Range & Zip-en_US.srt |
5.34Кб |
| 17 |
999.01Кб |
| 17. For Loop.mp4 |
23.15Мб |
| 17. For Loop-en_US.srt |
5.61Кб |
| 18 |
1008.92Кб |
| 19 |
696.69Кб |
| 2 |
260.75Кб |
| 2. Build Base HTML Part-1.mp4 |
28.22Мб |
| 2. Build Base HTML Part-1-en_US.srt |
5.44Кб |
| 2. Data Understanding.mp4 |
16.40Мб |
| 2. Data Understanding-en_US.srt |
2.42Кб |
| 2. Face Recognition Project Components.mp4 |
21.16Мб |
| 2. Face Recognition Project Components-en_US.srt |
1.99Кб |
| 2. Print Statements.mp4 |
36.18Мб |
| 2. Print Statements-en_US.srt |
8.60Кб |
| 2. Understanding Images.mp4 |
81.32Мб |
| 2. Understanding Images-en_US.srt |
8.09Кб |
| 2. Your First Flask App.mp4 |
19.86Мб |
| 2. Your First Flask App-en_US.srt |
3.42Кб |
| 20 |
264.03Кб |
| 21 |
692.20Кб |
| 22 |
999.21Кб |
| 23 |
354.77Кб |
| 24 |
118.92Кб |
| 25 |
873.30Кб |
| 26 |
100.93Кб |
| 27 |
244.08Кб |
| 28 |
710.75Кб |
| 29 |
221.60Кб |
| 3 |
509.06Кб |
| 3. Build Base HTML Part-2.mp4 |
358.79Мб |
| 3. Build Base HTML Part-2-en_US.srt |
22.11Кб |
| 3. Data Preprocessing - Crop Faces from Data using OpenCV.mp4 |
170.38Мб |
| 3. Data Preprocessing - Crop Faces from Data using OpenCV-en_US.srt |
15.09Кб |
| 3. Display Images and Depth in Image.mp4 |
115.78Мб |
| 3. Display Images and Depth in Image-en_US.srt |
14.13Кб |
| 3. Escape and Insert keys.mp4 |
55.88Мб |
| 3. Escape and Insert keys-en_US.srt |
12.17Кб |
| 3. Flask Routing.mp4 |
35.05Мб |
| 3. Flask Routing-en_US.srt |
5.49Кб |
| 3. Installing Python.mp4 |
29.05Мб |
| 3. Installing Python-en_US.srt |
3.23Кб |
| 30 |
580.16Кб |
| 31 |
226.54Кб |
| 32 |
322.22Кб |
| 33 |
842.31Кб |
| 34 |
968.95Кб |
| 35 |
16.98Кб |
| 36 |
135.29Кб |
| 37 |
836.43Кб |
| 38 |
243.44Кб |
| 39 |
970.95Кб |
| 4 |
328.70Кб |
| 4. Data Preprocessing - Face Size Info with Pandas.mp4 |
115.19Мб |
| 4. Data Preprocessing - Face Size Info with Pandas-en_US.srt |
8.05Кб |
| 4. Face App Page.mp4 |
120.11Мб |
| 4. Face App Page.mp4.vtx |
508.40Кб |
| 4. Face App Page-en_US.srt |
8.69Кб |
| 4. Install and Create Virtual Environment.mp4 |
25.65Мб |
| 4. Install and Create Virtual Environment-en_US.srt |
3.05Кб |
| 4. Understanding Image Pixels - Part 1.mp4 |
51.76Мб |
| 4. Understanding Image Pixels - Part 1-en_US.srt |
4.75Кб |
| 4. URL Building.mp4 |
27.74Мб |
| 4. URL Building-en_US.srt |
6.24Кб |
| 4. Variables & Assignments.mp4 |
11.24Мб |
| 4. Variables & Assignments-en_US.srt |
2.99Кб |
| 40 |
108.30Кб |
| 41 |
799.54Кб |
| 42 |
265.59Кб |
| 43 |
533.36Кб |
| 44 |
722.33Кб |
| 45 |
362.56Кб |
| 46 |
872.30Кб |
| 47 |
672.04Кб |
| 48 |
861.59Кб |
| 49 |
198.59Кб |
| 5 |
253.75Кб |
| 5. Data Preprocessing - EDA with Pandas.mp4 |
88.09Мб |
| 5. Data Preprocessing - EDA with Pandas-en_US.srt |
12.26Кб |
| 5. Data Types.mp4 |
12.80Мб |
| 5. Data Types-en_US.srt |
2.80Кб |
| 5. Flask Jinja Templates - Part 1.mp4 |
36.69Мб |
| 5. Flask Jinja Templates - Part 1-en_US.srt |
6.16Кб |
| 5. Gender Classification Page - Part 1.mp4 |
86.02Мб |
| 5. Gender Classification Page - Part 1-en_US.srt |
13.51Кб |
| 5. Installing OpenCV and Dependencies.mp4 |
16.63Мб |
| 5. Installing OpenCV and Dependencies-en_US.srt |
1.61Кб |
| 5. Understanding Image Pixels - Part 2.mp4 |
27.48Мб |
| 5. Understanding Image Pixels - Part 2-en_US.srt |
4.79Кб |
| 50 |
617.69Кб |
| 51 |
146.85Кб |
| 52 |
394.64Кб |
| 53 |
843.12Кб |
| 54 |
382.56Кб |
| 55 |
612.53Кб |
| 56 |
205.56Кб |
| 57 |
320.40Кб |
| 58 |
631.48Кб |
| 59 |
767.62Кб |
| 6 |
638.24Кб |
| 6. Data Preprocessing - Structure the Faces with OpenCV.mp4 |
190.68Мб |
| 6. Data Preprocessing - Structure the Faces with OpenCV-en_US.srt |
13.65Кб |
| 6. Data Type Casting.mp4 |
18.61Мб |
| 6. Data Type Casting-en_US.srt |
5.46Кб |
| 6. Flask Jinja Templates - Part 2.mp4 |
55.15Мб |
| 6. Flask Jinja Templates - Part 2-en_US.srt |
11.57Кб |
| 6. Gender Classification Page - Part 2.mp4 |
34.18Мб |
| 6. Gender Classification Page - Part 2-en_US.srt |
4.58Кб |
| 6. Image Resizing.mp4 |
34.98Мб |
| 6. Image Resizing-en_US.srt |
5.17Кб |
| 60 |
778.24Кб |
| 61 |
246.50Кб |
| 62 |
1022.98Кб |
| 63 |
367.47Кб |
| 64 |
708.21Кб |
| 7 |
913.39Кб |
| 7. Automatic Face Object Detection.mp4 |
86.01Мб |
| 7. Automatic Face Object Detection-en_US.srt |
8.04Кб |
| 7. Data Preprocessing - Normalization.mp4 |
109.51Мб |
| 7. Data Preprocessing - Normalization-en_US.srt |
11.96Кб |
| 7. Flask Jinja Templates - Part 3.mp4 |
88.04Мб |
| 7. Flask Jinja Templates - Part 3-en_US.srt |
12.65Кб |
| 7. Integrating Machine Learning Model to Flask App.mp4 |
249.69Мб |
| 7. Integrating Machine Learning Model to Flask App-en_US.srt |
14.08Кб |
| 7. List.mp4 |
106.25Мб |
| 7. List-en_US.srt |
19.30Кб |
| 8 |
698.34Кб |
| 8. Feature Extraction - PCA (Eigen Faces).mp4 |
113.22Мб |
| 8. Feature Extraction - PCA (Eigen Faces)-en_US.srt |
13.05Кб |
| 8. List Methods.mp4 |
20.81Мб |
| 8. List Methods-en_US.srt |
7.37Кб |
| 8. Template Inheritance.mp4 |
37.78Мб |
| 8. Template Inheritance-en_US.srt |
10.74Кб |
| 8. Working on Videos.mp4 |
116.32Мб |
| 8. Working on Videos-en_US.srt |
7.86Кб |
| 9 |
228.94Кб |
| 9. Feature Extraction - PCA (Eigen Faces) - part2.mp4 |
76.32Мб |
| 9. Feature Extraction - PCA (Eigen Faces) - part2-en_US.srt |
5.51Кб |
| 9. Static Files ( CSS, JS).mp4 |
47.43Мб |
| 9. Static Files ( CSS, JS)-en_US.srt |
11.35Кб |
| 9. Tuple.mp4 |
18.18Мб |
| 9. Tuple-en_US.srt |
6.29Кб |
| Face-Rec-webapp.zip |
6.31Мб |
| Module-1.zip |
12.69Мб |
| Module-2.zip |
173.75Мб |
| Module-3.zip |
411.13Кб |
| Module-4.zip |
5.77Мб |
| TutsNode.com.txt |
63б |