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585B |
0 |
607B |
1 |
206.09KB |
1. Bonus Lecture.html |
685B |
1. Create Web App.mp4 |
25.71MB |
1. Create Web App.srt |
3.77KB |
1. Get the Data.mp4 |
18.58MB |
1. Get the Data.srt |
1.18KB |
1. Get Transfer Learning from TensorFlow 2.x.mp4 |
17.43MB |
1. Get Transfer Learning from TensorFlow 2.x.srt |
3.07KB |
1. Install Tesseract.mp4 |
47.80MB |
1. Install Tesseract.srt |
4.98KB |
1. Install Visual Studio Code.mp4 |
38.79MB |
1. Install Visual Studio Code.srt |
4.61KB |
1. Make Predictions.mp4 |
74.93MB |
1. Make Predictions.srt |
10.81KB |
1. Project Architecture.mp4 |
12.49MB |
1. Project Architecture.srt |
3.36KB |
1. Read Data.mp4 |
61.14MB |
1. Read Data.srt |
8.16KB |
10 |
350.41KB |
11 |
105.07KB |
12 |
386.88KB |
13 |
202.54KB |
14 |
359.14KB |
15 |
510.66KB |
16 |
177.61KB |
17 |
430.98KB |
18 |
212.68KB |
19 |
302.47KB |
2 |
139.14KB |
2.1 labelImg-master.zip |
6.28MB |
2.1 Project_Files.zip |
473.38MB |
2. Download Image Annotation Tool.mp4 |
22.78MB |
2. Download Image Annotation Tool.srt |
1.66KB |
2. Download the Resources.html |
113B |
2. First Flask App.mp4 |
38.20MB |
2. First Flask App.srt |
6.45KB |
2. Footer.mp4 |
12.76MB |
2. Footer.srt |
2.23KB |
2. InceptionResnet V2 model building.mp4 |
45.00MB |
2. InceptionResnet V2 model building.srt |
7.20KB |
2. Install Pytesseract.mp4 |
12.98MB |
2. Install Pytesseract.srt |
1.73KB |
2. Make Predictions part2.mp4 |
30.03MB |
2. Make Predictions part2.srt |
4.85KB |
2. Verify Labeled Data.mp4 |
48.62MB |
2. Verify Labeled Data.srt |
6.67KB |
20 |
433.42KB |
21 |
415.28KB |
22 |
483.99KB |
23 |
274.57KB |
24 |
103.32KB |
25 |
302.00KB |
26 |
320.81KB |
27 |
412.97KB |
28 |
440.25KB |
29 |
57.95KB |
3 |
141.01KB |
3. Data Preprocessing.mp4 |
83.36MB |
3. Data Preprocessing.srt |
10.61KB |
3. Defining Inputs and Outputs.mp4 |
14.45MB |
3. Defining Inputs and Outputs.srt |
1.69KB |
3. De-normalize the Output.mp4 |
30.59MB |
3. De-normalize the Output.srt |
4.06KB |
3. Exrtract Number Plate text from Image.mp4 |
67.37MB |
3. Exrtract Number Plate text from Image.srt |
7.09KB |
3. Install Dependencies.mp4 |
40.33MB |
3. Install Dependencies.srt |
1.18KB |
3. Render HTML Template.mp4 |
47.65MB |
3. Render HTML Template.srt |
7.94KB |
3. Template Inheritance.mp4 |
22.21MB |
3. Template Inheritance.srt |
3.33KB |
30 |
217.54KB |
31 |
225.49KB |
32 |
294.64KB |
33 |
15.38KB |
34 |
425.31KB |
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69.30KB |
36 |
54.71KB |
37 |
22.77KB |
38 |
245.71KB |
39 |
11.15KB |
4 |
339.15KB |
4. Bounding Box.mp4 |
39.08MB |
4. Bounding Box.srt |
5.42KB |
4. Compiling Model.mp4 |
23.94MB |
4. Compiling Model.srt |
2.67KB |
4. Import Boostrap.mp4 |
25.69MB |
4. Import Boostrap.srt |
3.22KB |
4. Label Images.mp4 |
32.08MB |
4. Label Images.srt |
1.90KB |
4. Split train and test set.mp4 |
27.40MB |
4. Split train and test set.srt |
3.96KB |
4. Upload Form in HTML.mp4 |
22.79MB |
4. Upload Form in HTML.srt |
3.84KB |
5 |
73.62KB |
5. Create Pipeline.mp4 |
55.40MB |
5. Create Pipeline.srt |
5.72KB |
5. HTTP Method Upload File in Flask.mp4 |
56.66MB |
5. HTTP Method Upload File in Flask.srt |
8.55KB |
5. InceptionResnet V2 Training.mp4 |
21.48MB |
5. InceptionResnet V2 Training.srt |
3.77KB |
5. XML to CSV.mp4 |
81.86MB |
5. XML to CSV.srt |
6.62KB |
6 |
257.69KB |
6. InceptionResnet V2 Training - Part 2.mp4 |
24.60MB |
6. InceptionResnet V2 Training - Part 2.srt |
2.66KB |
6. Integrate Deep Learning Object Detection Model.mp4 |
141.72MB |
6. Integrate Deep Learning Object Detection Model.srt |
15.33KB |
7 |
137.20KB |
7. Integrate Number Plate Detection and OCR to Flask App.mp4 |
66.89MB |
7. Integrate Number Plate Detection and OCR to Flask App.srt |
6.09KB |
7. Save Deep Learning Model.mp4 |
24.07MB |
7. Save Deep Learning Model.srt |
2.67KB |
8 |
113.70KB |
8. Display Output in HTML Page.mp4 |
78.17MB |
8. Display Output in HTML Page.srt |
9.46KB |
8. Tensorboard.mp4 |
28.23MB |
8. Tensorboard.srt |
4.78KB |
9 |
369.00KB |
9. Display Output in HTML Page part 2.mp4 |
71.25MB |
9. Display Output in HTML Page part 2.srt |
7.35KB |
TutsNode.com.txt |
63B |