Torrent Info
Title [FreeTutorials.Eu] Udemy - Deep Learning & Computer Vision - Build a Self-Driving Car
Category
Size 9.22GB

Files List
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[FreeCoursesOnline.Me].url 133B
[FreeTutorials.Eu].url 129B
[FTU Forum].url 1.34KB
1. Overview.mp4 10.83MB
1. Overview.mp4 9.63MB
1. Overview.mp4 14.49MB
1. Overview.mp4 7.55MB
1. Overview.mp4 50.21MB
1. Overview.mp4 5.90MB
1. Overview.mp4 10.59MB
1. Overview.mp4 9.00MB
1. Overview.mp4 27.76MB
1. Overview.mp4 6.81MB
1. Overview.mp4 15.65MB
1. Overview.mp4 10.40MB
1. Overview.srt 1.05KB
1. Overview.srt 1.02KB
1. Overview.srt 1.43KB
1. Overview.srt 719B
1. Overview.srt 3.99KB
1. Overview.srt 693B
1. Overview.srt 1.00KB
1. Overview.srt 867B
1. Overview.srt 2.14KB
1. Overview.srt 749B
1. Overview.srt 1.08KB
1. Overview.srt 884B
1. Python Crash Course Part 1 - Data Types.mp4 15.23MB
1. Python Crash Course Part 1 - Data Types.srt 1.44KB
1. Why This Course.mp4 25.87MB
1. Why This Course.srt 3.53KB
10. Error Function.mp4 41.63MB
10. Error Function.srt 5.60KB
10. Final Source Code.html 5.04KB
10. Hough Transform II.mp4 114.70MB
10. Hough Transform II.srt 16.26KB
10. Part 4 - Outro.mp4 2.48MB
10. Part 4 - Outro.srt 282B
10. Section 10 - Outro.mp4 5.96MB
10. Section 10 - Outro.srt 579B
10. Section 12 - Outro.mp4 9.93MB
10. Section 12 - Outro.srt 1023B
10. Self Driving Car - Test 1.mp4 165.97MB
10. Self Driving Car - Test 1.srt 16.17KB
10. Slicing.mp4 55.56MB
10. Slicing.srt 9.00KB
11. Generator - Augmentation Techniques.mp4 380.89MB
11. Generator - Augmentation Techniques.srt 37.56KB
11. Membership Operators.mp4 13.79MB
11. Membership Operators.srt 2.95KB
11. Optimizing.mp4 164.52MB
11. Optimizing.srt 16.91KB
11. Section 11 - Conclusion.mp4 4.77MB
11. Section 11 - Conclusion.srt 474B
11. Sigmoid.mp4 61.73MB
11. Sigmoid.srt 8.36KB
12.1 test2.mp4.zip.zip 27.96MB
12. Batch Generator.mp4 95.11MB
12. Batch Generator.srt 12.19KB
12. Mutability.mp4 32.97MB
12. Mutability.srt 4.66KB
12. Resource for upcoming video.html 101B
12. Sigmoid Implementation (Code).mp4 90.73MB
12. Sigmoid Implementation (Code).srt 15.01KB
13.1 test2.mp4.mp4 31.93MB
13. Finding Lanes on Video.mp4 82.80MB
13. Finding Lanes on Video.srt 8.11KB
13. Fit Generator.mp4 248.41MB
13. Fit Generator.srt 21.22KB
13. Mutability II.mp4 31.64MB
13. Mutability II.srt 4.10KB
13. Source code.html 1022B
14. Common Functions & Methods.mp4 46.79MB
14. Common Functions & Methods.srt 8.16KB
14. Cross Entropy.mp4 62.73MB
14. Cross Entropy.srt 8.26KB
14. Final Source Code.html 10.14KB
14. Source Code.html 2.91KB
15. Cross Entropy (Code).mp4 61.25MB
15. Cross Entropy (Code).srt 9.81KB
15. Outro.mp4 19.58MB
15. Outro.srt 1.45KB
15. Part 5 - Conclusion.mp4 10.23MB
15. Part 5 - Conclusion.srt 897B
15. Tuples.mp4 23.06MB
15. Tuples.srt 3.80KB
16. Sets.mp4 19.64MB
16. Sets.srt 3.01KB
16. Source Code.html 1.17KB
17. Dictionaries.mp4 35.35MB
17. Dictionaries.srt 5.48KB
17. Gradient Descent.mp4 45.18MB
17. Gradient Descent.srt 3.76KB
18. Compound Data Structures.mp4 20.19MB
18. Compound Data Structures.srt 2.74KB
18. Gradient Descent (Code).mp4 75.74MB
18. Gradient Descent (Code).srt 10.86KB
19. Part 1 - Outro.mp4 3.62MB
19. Part 1 - Outro.srt 403B
19. Recap.mp4 17.74MB
19. Recap.srt 2.87KB
2.1 Image.zip.zip 759.11KB
2. Anaconda Distribution - Mac.mp4 25.24MB
2. Anaconda Distribution - Mac.srt 3.29KB
2. Collecting Data.mp4 282.41MB
2. Collecting Data.srt 21.50KB
2. Convolutions & MNIST.mp4 89.98MB
2. Convolutions & MNIST.srt 7.94KB
2. Image needed for the next lesson.html 65B
2. Implementation.mp4 128.86MB
2. Implementation.srt 17.13KB
2. Intro to Keras.mp4 19.98MB
2. Intro to Keras.srt 2.72KB
2. Jupyter Notebooks.mp4 9.98MB
2. Jupyter Notebooks.srt 2.31KB
2. Machine Learning.mp4 37.03MB
2. Machine Learning.srt 3.88KB
2. MNIST Dataset.mp4 70.96MB
2. MNIST Dataset.srt 6.40KB
2. Non-Linear Boundaries.mp4 71.12MB
2. Non-Linear Boundaries.srt 6.63KB
2. Softmax.mp4 141.67MB
2. Softmax.srt 16.31KB
2. Traffic Signs Starter Code.html 1.48KB
2. Vector Addition - Arrays vs Lists.mp4 86.82MB
2. Vector Addition - Arrays vs Lists.srt 14.60KB
20. Part 2 - Control Flow.mp4 11.48MB
20. Part 2 - Control Flow.srt 1.10KB
20. Source Code.html 1.93KB
21. If, else.mp4 27.17MB
21. If, else.srt 4.95KB
21. Part 6 - Conclusion.mp4 9.69MB
21. Part 6 - Conclusion.srt 844B
22. elif.mp4 49.04MB
22. elif.srt 7.50KB
23. Complex Comparisons.mp4 29.53MB
23. Complex Comparisons.srt 5.42KB
24. For Loops.mp4 38.50MB
24. For Loops.srt 7.51KB
25. For Loops II.mp4 15.07MB
25. For Loops II.srt 3.36KB
26. While Loops.mp4 20.20MB
26. While Loops.srt 3.58KB
27. Break.mp4 19.72MB
27. Break.srt 4.02KB
28. Part 2 - Outro.mp4 4.48MB
28. Part 2 - Outro.srt 488B
29. Part 3 - Functions.mp4 11.43MB
29. Part 3 - Functions.srt 1.22KB
3.1 Image.zip.zip 759.11KB
3.1 Traffic Signs Starter Project.ipynb.zip.zip 1.53KB
3. Anaconda Distribution - Windows.mp4 25.31MB
3. Anaconda Distribution - Windows.srt 3.54KB
3. Architecture.mp4 126.03MB
3. Architecture.srt 13.14KB
3. Arithmetic Operations.mp4 25.44MB
3. Arithmetic Operations.srt 5.37KB
3. Convolutional Layer.mp4 229.80MB
3. Convolutional Layer.srt 22.58KB
3. Cross Entropy.mp4 81.95MB
3. Cross Entropy.srt 11.67KB
3. Downloading Data.mp4 130.62MB
3. Downloading Data.srt 18.71KB
3. Final Source Code.html 806B
3. Loading Image.mp4 40.23MB
3. Loading Image.srt 6.10KB
3. Multidimensional Arrays.mp4 96.82MB
3. Multidimensional Arrays.srt 13.43KB
3. Preprocessing Images.mp4 330.40MB
3. Preprocessing Images.srt 49.23KB
3. Starter Code.html 496B
3. Supervised Learning - Friendly Example.mp4 46.59MB
3. Supervised Learning - Friendly Example.srt 5.35KB
3. Train & Test.mp4 132.04MB
3. Train & Test.srt 16.24KB
30. Functions.mp4 31.62MB
30. Functions.srt 6.04KB
31. Scope.mp4 13.17MB
31. Scope.srt 1.99KB
32. Doc Strings.mp4 19.59MB
32. Doc Strings.srt 2.90KB
33. Lambda & Higher Order Functions.mp4 28.40MB
33. Lambda & Higher Order Functions.srt 7.41KB
34. Part 3 - Outro.mp4 8.84MB
34. Part 3 - Outro.srt 933B
4. Balancing Data.mp4 74.71MB
4. Balancing Data.srt 12.88KB
4. Classification.mp4 82.08MB
4. Classification.srt 9.74KB
4. Convolutions II.mp4 79.79MB
4. Convolutions II.srt 9.75KB
4. Feedforward Process.mp4 88.90MB
4. Feedforward Process.srt 11.14KB
4. Grayscale Conversion.mp4 47.23MB
4. Grayscale Conversion.srt 5.34KB
4. Hyperparameters.mp4 81.23MB
4. Hyperparameters.srt 8.29KB
4. Implementation.mp4 245.30MB
4. Implementation.srt 40.19KB
4. Keras Models.mp4 175.26MB
4. Keras Models.srt 27.48KB
4. leNet Implementation.mp4 129.39MB
4. leNet Implementation.srt 23.10KB
4. One Dimensional Slicing.mp4 25.03MB
4. One Dimensional Slicing.srt 4.15KB
4. Section 13 - Conclusion.mp4 5.19MB
4. Section 13 - Conclusion.srt 555B
4. Text Editor.mp4 29.10MB
4. Text Editor.srt 3.58KB
4. Variables.mp4 27.68MB
4. Variables.srt 6.13KB
5. Error Function.mp4 54.07MB
5. Error Function.srt 6.13KB
5. Fine-tuning Model.mp4 117.04MB
5. Fine-tuning Model.srt 17.38KB
5. Implementation Part 1.mp4 194.02MB
5. Implementation Part 1.srt 39.38KB
5. Keras - Predictions.mp4 144.46MB
5. Keras - Predictions.srt 23.19KB
5. Linear Model.mp4 86.36MB
5. Linear Model.srt 8.85KB
5. Numeric Data Types.mp4 23.51MB
5. Numeric Data Types.srt 4.56KB
5. Outro.mp4 5.53MB
5. Outro.srt 798B
5. Pooling.mp4 161.92MB
5. Pooling.srt 18.07KB
5. Reshaping.mp4 23.41MB
5. Reshaping.srt 4.01KB
5. Smoothening Image.mp4 30.57MB
5. Smoothening Image.srt 3.88KB
5. Source Code.html 2.30KB
5. Training & Validation Split.mp4 65.74MB
5. Training & Validation Split.srt 11.98KB
6. Backpropagation.mp4 65.40MB
6. Backpropagation.srt 7.53KB
6. Fully Connected Layer.mp4 77.89MB
6. Fully Connected Layer.srt 7.90KB
6. Implementation Part 2.mp4 155.90MB
6. Implementation Part 2.srt 24.35KB
6. Multidimensional Slicing.mp4 49.16MB
6. Multidimensional Slicing.srt 8.29KB
6. Perceptrons.mp4 50.68MB
6. Perceptrons.srt 5.31KB
6. Preprocessing Images.mp4 161.75MB
6. Preprocessing Images.srt 20.02KB
6. Resources Needed for Testing.html 2.11KB
6. Section 9 - Outro.mp4 5.40MB
6. Section 9 - Outro.srt 499B
6. Simple Edge Detection.mp4 42.64MB
6. Simple Edge Detection.srt 5.37KB
6. Source Code.html 2.23KB
6. String Data Types.mp4 41.96MB
6. String Data Types.srt 6.39KB
7. Booleans.mp4 24.24MB
7. Booleans.srt 5.17KB
7. Code Implementation.mp4 204.25MB
7. Code Implementation.srt 33.55KB
7. Defining Nvidia Model.mp4 198.55MB
7. Defining Nvidia Model.srt 29.47KB
7. Manipulating Array Shapes.mp4 47.76MB
7. Manipulating Array Shapes.srt 9.66KB
7. Part 7 - Outro.mp4 4.83MB
7. Part 7 - Outro.srt 493B
7. Region of Interest.mp4 49.33MB
7. Region of Interest.srt 8.75KB
7. Resource for upcoming video.html 240B
7. Starter Code.html 6.38KB
7. Testing.mp4 63.15MB
7. Testing.srt 7.42KB
7. Weights.mp4 25.29MB
7. Weights.srt 2.56KB
8.1 Initial Stages.ipynb.zip.zip 1.26KB
8. Binary Numbers & Bitwise_and.mp4 91.80MB
8. Binary Numbers & Bitwise_and.srt 11.76KB
8. Code Implementation I.mp4 254.53MB
8. Code Implementation I.srt 36.96KB
8. Drive.py code.html 2.02KB
8. Fit Generator.mp4 159.84MB
8. Fit Generator.srt 26.28KB
8. Implementation Part 3.mp4 75.33MB
8. Implementation Part 3.srt 12.56KB
8. Matrix Multiplication.mp4 34.28MB
8. Matrix Multiplication.srt 4.72KB
8. Methods.mp4 20.70MB
8. Methods.srt 3.64KB
8. Project - Initial Stages.mp4 78.25MB
8. Project - Initial Stages.srt 14.64KB
8. Source Code.html 1.92KB
9.1 Initial Stages.ipynb.zip.zip 1.26KB
9. Code Implementation II.mp4 213.41MB
9. Code Implementation II.srt 29.98KB
9. Final Source Code.html 3.69KB
9. Final Source Code.html 7.28KB
9. Flask & Socket.io.mp4 99.77MB
9. Flask & Socket.io.srt 17.84KB
9. Line Detection - Hough Transform.mp4 132.64MB
9. Line Detection - Hough Transform.srt 13.78KB
9. Lists.mp4 35.82MB
9. Lists.srt 6.37KB
9. Sample Code for Initial Stages.html 575B
9. Section 8 - Conclusion.mp4 6.02MB
9. Section 8 - Conclusion.srt 573B
9. Stacking.mp4 82.31MB
9. Stacking.srt 14.68KB
FTUApps.com website coming soon.txt 94B
How you can help Team-FTU.txt 241B
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