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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
607б |
| 1 |
206.09Кб |
| 1. Bonus Lecture.html |
685б |
| 1. Create Web App.mp4 |
25.71Мб |
| 1. Create Web App.srt |
3.77Кб |
| 1. Get the Data.mp4 |
18.58Мб |
| 1. Get the Data.srt |
1.18Кб |
| 1. Get Transfer Learning from TensorFlow 2.x.mp4 |
17.43Мб |
| 1. Get Transfer Learning from TensorFlow 2.x.srt |
3.07Кб |
| 1. Install Tesseract.mp4 |
47.80Мб |
| 1. Install Tesseract.srt |
4.98Кб |
| 1. Install Visual Studio Code.mp4 |
38.79Мб |
| 1. Install Visual Studio Code.srt |
4.61Кб |
| 1. Make Predictions.mp4 |
74.93Мб |
| 1. Make Predictions.srt |
10.81Кб |
| 1. Project Architecture.mp4 |
12.49Мб |
| 1. Project Architecture.srt |
3.36Кб |
| 1. Read Data.mp4 |
61.14Мб |
| 1. Read Data.srt |
8.16Кб |
| 10 |
350.41Кб |
| 11 |
105.07Кб |
| 12 |
386.88Кб |
| 13 |
202.54Кб |
| 14 |
359.14Кб |
| 15 |
510.66Кб |
| 16 |
177.61Кб |
| 17 |
430.98Кб |
| 18 |
212.68Кб |
| 19 |
302.47Кб |
| 2 |
139.14Кб |
| 2.1 labelImg-master.zip |
6.28Мб |
| 2.1 Project_Files.zip |
473.38Мб |
| 2. Download Image Annotation Tool.mp4 |
22.78Мб |
| 2. Download Image Annotation Tool.srt |
1.66Кб |
| 2. Download the Resources.html |
113б |
| 2. First Flask App.mp4 |
38.20Мб |
| 2. First Flask App.srt |
6.45Кб |
| 2. Footer.mp4 |
12.76Мб |
| 2. Footer.srt |
2.23Кб |
| 2. InceptionResnet V2 model building.mp4 |
45.00Мб |
| 2. InceptionResnet V2 model building.srt |
7.20Кб |
| 2. Install Pytesseract.mp4 |
12.98Мб |
| 2. Install Pytesseract.srt |
1.73Кб |
| 2. Make Predictions part2.mp4 |
30.03Мб |
| 2. Make Predictions part2.srt |
4.85Кб |
| 2. Verify Labeled Data.mp4 |
48.62Мб |
| 2. Verify Labeled Data.srt |
6.67Кб |
| 20 |
433.42Кб |
| 21 |
415.28Кб |
| 22 |
483.99Кб |
| 23 |
274.57Кб |
| 24 |
103.32Кб |
| 25 |
302.00Кб |
| 26 |
320.81Кб |
| 27 |
412.97Кб |
| 28 |
440.25Кб |
| 29 |
57.95Кб |
| 3 |
141.01Кб |
| 3. Data Preprocessing.mp4 |
83.36Мб |
| 3. Data Preprocessing.srt |
10.61Кб |
| 3. Defining Inputs and Outputs.mp4 |
14.45Мб |
| 3. Defining Inputs and Outputs.srt |
1.69Кб |
| 3. De-normalize the Output.mp4 |
30.59Мб |
| 3. De-normalize the Output.srt |
4.06Кб |
| 3. Exrtract Number Plate text from Image.mp4 |
67.37Мб |
| 3. Exrtract Number Plate text from Image.srt |
7.09Кб |
| 3. Install Dependencies.mp4 |
40.33Мб |
| 3. Install Dependencies.srt |
1.18Кб |
| 3. Render HTML Template.mp4 |
47.65Мб |
| 3. Render HTML Template.srt |
7.94Кб |
| 3. Template Inheritance.mp4 |
22.21Мб |
| 3. Template Inheritance.srt |
3.33Кб |
| 30 |
217.54Кб |
| 31 |
225.49Кб |
| 32 |
294.64Кб |
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15.38Кб |
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425.31Кб |
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69.30Кб |
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54.71Кб |
| 37 |
22.77Кб |
| 38 |
245.71Кб |
| 39 |
11.15Кб |
| 4 |
339.15Кб |
| 4. Bounding Box.mp4 |
39.08Мб |
| 4. Bounding Box.srt |
5.42Кб |
| 4. Compiling Model.mp4 |
23.94Мб |
| 4. Compiling Model.srt |
2.67Кб |
| 4. Import Boostrap.mp4 |
25.69Мб |
| 4. Import Boostrap.srt |
3.22Кб |
| 4. Label Images.mp4 |
32.08Мб |
| 4. Label Images.srt |
1.90Кб |
| 4. Split train and test set.mp4 |
27.40Мб |
| 4. Split train and test set.srt |
3.96Кб |
| 4. Upload Form in HTML.mp4 |
22.79Мб |
| 4. Upload Form in HTML.srt |
3.84Кб |
| 5 |
73.62Кб |
| 5. Create Pipeline.mp4 |
55.40Мб |
| 5. Create Pipeline.srt |
5.72Кб |
| 5. HTTP Method Upload File in Flask.mp4 |
56.66Мб |
| 5. HTTP Method Upload File in Flask.srt |
8.55Кб |
| 5. InceptionResnet V2 Training.mp4 |
21.48Мб |
| 5. InceptionResnet V2 Training.srt |
3.77Кб |
| 5. XML to CSV.mp4 |
81.86Мб |
| 5. XML to CSV.srt |
6.62Кб |
| 6 |
257.69Кб |
| 6. InceptionResnet V2 Training - Part 2.mp4 |
24.60Мб |
| 6. InceptionResnet V2 Training - Part 2.srt |
2.66Кб |
| 6. Integrate Deep Learning Object Detection Model.mp4 |
141.72Мб |
| 6. Integrate Deep Learning Object Detection Model.srt |
15.33Кб |
| 7 |
137.20Кб |
| 7. Integrate Number Plate Detection and OCR to Flask App.mp4 |
66.89Мб |
| 7. Integrate Number Plate Detection and OCR to Flask App.srt |
6.09Кб |
| 7. Save Deep Learning Model.mp4 |
24.07Мб |
| 7. Save Deep Learning Model.srt |
2.67Кб |
| 8 |
113.70Кб |
| 8. Display Output in HTML Page.mp4 |
78.17Мб |
| 8. Display Output in HTML Page.srt |
9.46Кб |
| 8. Tensorboard.mp4 |
28.23Мб |
| 8. Tensorboard.srt |
4.78Кб |
| 9 |
369.00Кб |
| 9. Display Output in HTML Page part 2.mp4 |
71.25Мб |
| 9. Display Output in HTML Page part 2.srt |
7.35Кб |
| TutsNode.com.txt |
63б |