UdemyCourseDownloader The Complete Self Driving Car Course Applied Deep Learning

UdemyCourseDownloader The Complete Self Driving Car Course Applied Deep Learning

Name	[UdemyCourseDownloader] The Complete Self-Driving Car Course - Applied Deep Learning	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	9.9 GB
Total Files	304
Hash	74FDBB1BCA6C1D99303EC599678174E79BAE1114

/14. Behavioural Cloning/
11. Generator - Augmentation Techniques.mp4	399.4 MB
1. Overview.mp4	52.6 MB
1. Overview.srt	4.1 KB
2. Collecting Data.mp4	296.1 MB
2. Collecting Data.srt	22.0 KB
3. Downloading Data.mp4	137.0 MB
3. Downloading Data.srt	19.2 KB
4. Balancing Data.mp4	78.3 MB
4. Balancing Data.srt	13.2 KB
5. Training & Validation Split.mp4	68.9 MB
5. Training & Validation Split.srt	12.3 KB
6. Preprocessing Images.mp4	169.6 MB
6. Preprocessing Images.srt	20.5 KB
7. Defining Nvidia Model.mp4	208.2 MB
7. Defining Nvidia Model.srt	30.2 KB
8. Drive.py code.html	2.1 KB
9. Flask & Socket.io.mp4	104.6 MB
9. Flask & Socket.io.srt	18.3 KB
10. Self Driving Car - Test 1.mp4	174.0 MB
10. Self Driving Car - Test 1.srt	16.6 KB
11. Generator - Augmentation Techniques.srt	38.5 KB
12. Batch Generator.mp4	99.7 MB
12. Batch Generator.srt	12.5 KB
13. Fit Generator.mp4	260.5 MB
13. Fit Generator.srt	21.7 KB
14. Final Source Code.html	10.4 KB
15. Outro.mp4	20.5 MB
15. Outro.srt	1.5 KB
/
udemycoursedownloader.com.url	0.1 KB
Udemy Course downloader.txt	0.1 KB
/1. Introduction/
1. Why This Course.mp4	27.1 MB
1. Why This Course.srt	3.6 KB
/2. Installation/
1. Overview.mp4	6.2 MB
1. Overview.srt	0.7 KB
2. Anaconda Distribution - Mac.mp4	26.5 MB
2. Anaconda Distribution - Mac.srt	3.4 KB
3. Anaconda Distribution - Windows.mp4	26.5 MB
3. Anaconda Distribution - Windows.srt	3.6 KB
4. Text Editor.mp4	30.5 MB
4. Text Editor.srt	3.7 KB
5. Outro.mp4	5.8 MB
5. Outro.srt	0.8 KB
/3. Python Crash Course (Optional)/
1. Python Crash Course Part 1 - Data Types.mp4	16.0 MB
1. Python Crash Course Part 1 - Data Types.srt	1.5 KB
2. Jupyter Notebooks.mp4	10.5 MB
2. Jupyter Notebooks.srt	2.4 KB
3. Arithmetic Operations.mp4	26.7 MB
3. Arithmetic Operations.srt	5.5 KB
4. Variables.mp4	29.0 MB
4. Variables.srt	6.3 KB
5. Numeric Data Types.mp4	24.6 MB
5. Numeric Data Types.srt	4.7 KB
6. String Data Types.mp4	44.0 MB
6. String Data Types.srt	6.5 KB
7. Booleans.mp4	25.4 MB
7. Booleans.srt	5.3 KB
8. Methods.mp4	21.7 MB
8. Methods.srt	3.7 KB
9. Lists.mp4	37.6 MB
9. Lists.srt	6.5 KB
10. Slicing.mp4	58.3 MB
10. Slicing.srt	9.2 KB
11. Membership Operators.mp4	14.5 MB
11. Membership Operators.srt	3.0 KB
12. Mutability.mp4	34.6 MB
12. Mutability.srt	4.8 KB
13. Mutability II.mp4	33.2 MB
13. Mutability II.srt	4.2 KB
14. Common Functions & Methods.mp4	49.1 MB
14. Common Functions & Methods.srt	8.4 KB
15. Tuples.mp4	24.2 MB
15. Tuples.srt	3.9 KB
16. Sets.mp4	20.6 MB
16. Sets.srt	3.1 KB
17. Dictionaries.mp4	37.1 MB
17. Dictionaries.srt	5.6 KB
18. Compound Data Structures.mp4	21.2 MB
18. Compound Data Structures.srt	2.8 KB
19. Part 1 - Outro.mp4	3.8 MB
19. Part 1 - Outro.srt	0.4 KB
20. Part 2 - Control Flow.mp4	12.0 MB
20. Part 2 - Control Flow.srt	1.1 KB
21. If, else.mp4	28.5 MB
21. If, else.srt	5.1 KB
22. elif.mp4	51.4 MB
22. elif.srt	7.7 KB
23. Complex Comparisons.mp4	31.0 MB
23. Complex Comparisons.srt	5.6 KB
24. For Loops.mp4	40.4 MB
24. For Loops.srt	7.7 KB
25. For Loops II.mp4	15.8 MB
25. For Loops II.srt	3.4 KB
26. While Loops.mp4	21.2 MB
26. While Loops.srt	3.7 KB
27. Break.mp4	20.7 MB
27. Break.srt	4.1 KB
28. Part 2 - Outro.mp4	4.7 MB
28. Part 2 - Outro.srt	0.5 KB
29. Part 3 - Functions.mp4	12.0 MB
29. Part 3 - Functions.srt	1.2 KB
30. Functions.mp4	33.2 MB
30. Functions.srt	6.2 KB
31. Scope.mp4	13.8 MB
31. Scope.srt	2.0 KB
32. Doc Strings.mp4	20.5 MB
32. Doc Strings.srt	3.0 KB
33. Lambda & Higher Order Functions.mp4	29.8 MB
33. Lambda & Higher Order Functions.srt	7.6 KB
34. Part 3 - Outro.mp4	9.3 MB
34. Part 3 - Outro.srt	0.9 KB
/4. NumPy Crash Course (Optional)/
1. Overview.mp4	11.1 MB
1. Overview.srt	1.0 KB
2. Vector Addition - Arrays vs Lists.mp4	91.0 MB
2. Vector Addition - Arrays vs Lists.srt	15.0 KB
3. Multidimensional Arrays.mp4	101.5 MB
3. Multidimensional Arrays.srt	13.8 KB
4. One Dimensional Slicing.mp4	26.2 MB
4. One Dimensional Slicing.srt	4.2 KB
5. Reshaping.mp4	24.5 MB
5. Reshaping.srt	4.1 KB
6. Multidimensional Slicing.mp4	51.6 MB
6. Multidimensional Slicing.srt	8.5 KB
7. Manipulating Array Shapes.mp4	50.1 MB
7. Manipulating Array Shapes.srt	9.9 KB
8. Matrix Multiplication.mp4	35.9 MB
8. Matrix Multiplication.srt	4.8 KB
9. Stacking.mp4	86.3 MB
9. Stacking.srt	15.0 KB
10. Part 4 - Outro.mp4	2.6 MB
10. Part 4 - Outro.srt	0.3 KB
/5. Computer Vision Finding Lane Lines/
1. Overview.mp4	9.4 MB
1. Overview.srt	0.9 KB
2. Image needed for the next lesson.html	0.1 KB
2.1 Image.zip.zip	777.3 KB
3. Loading Image.mp4	42.2 MB
3. Loading Image.srt	6.2 KB
3.1 Image.zip.zip	777.3 KB
4. Grayscale Conversion.mp4	49.5 MB
4. Grayscale Conversion.srt	5.5 KB
5. Smoothening Image.mp4	32.1 MB
5. Smoothening Image.srt	4.0 KB
6. Simple Edge Detection.mp4	44.7 MB
6. Simple Edge Detection.srt	5.5 KB
7. Region of Interest.mp4	51.7 MB
7. Region of Interest.srt	9.0 KB
8. Binary Numbers & Bitwise_and.mp4	96.3 MB
8. Binary Numbers & Bitwise_and.srt	12.0 KB
9. Line Detection - Hough Transform.mp4	139.1 MB
9. Line Detection - Hough Transform.srt	14.1 KB
10. Hough Transform II.mp4	120.3 MB
10. Hough Transform II.srt	16.6 KB
11. Optimizing.mp4	172.5 MB
11. Optimizing.srt	17.3 KB
12. Resource for upcoming video.html	0.1 KB
12.1 test2.mp4.zip.zip	29.3 MB
13. Finding Lanes on Video.mp4	86.8 MB
13. Finding Lanes on Video.srt	8.3 KB
13.1 test2.mp4.mp4	33.5 MB
14. Source Code.html	3.0 KB
15. Part 5 - Conclusion.mp4	10.7 MB
15. Part 5 - Conclusion.srt	0.9 KB
/6. The Perceptron/
1. Overview.mp4	29.1 MB
1. Overview.srt	2.2 KB
2. Machine Learning.mp4	38.8 MB
2. Machine Learning.srt	4.0 KB
3. Supervised Learning - Friendly Example.mp4	48.9 MB
3. Supervised Learning - Friendly Example.srt	5.5 KB
4. Classification.mp4	86.1 MB
4. Classification.srt	10.0 KB
5. Linear Model.mp4	90.6 MB
5. Linear Model.srt	9.1 KB
6. Perceptrons.mp4	53.1 MB
6. Perceptrons.srt	5.4 KB
7. Weights.mp4	26.5 MB
7. Weights.srt	2.6 KB
8. Project - Initial Stages.mp4	82.1 MB
8. Project - Initial Stages.srt	15.0 KB
8.1 Initial Stages.ipynb.zip.zip	1.3 KB
9. Sample Code for Initial Stages.html	0.6 KB
9.1 Initial Stages.ipynb.zip.zip	1.3 KB
10. Error Function.mp4	43.7 MB
10. Error Function.srt	5.7 KB
11. Sigmoid.mp4	64.7 MB
11. Sigmoid.srt	8.6 KB
12. Sigmoid Implementation (Code).mp4	95.1 MB
12. Sigmoid Implementation (Code).srt	15.4 KB
13. Source code.html	1.0 KB
14. Cross Entropy.mp4	65.8 MB
14. Cross Entropy.srt	8.5 KB
15. Cross Entropy (Code).mp4	64.2 MB
15. Cross Entropy (Code).srt	10.0 KB
16. Source Code.html	1.2 KB
17. Gradient Descent.mp4	47.4 MB
17. Gradient Descent.srt	3.8 KB
18. Gradient Descent (Code).mp4	79.4 MB
18. Gradient Descent (Code).srt	11.1 KB
19. Recap.mp4	18.6 MB
19. Recap.srt	2.9 KB
20. Source Code.html	2.0 KB
21. Part 6 - Conclusion.mp4	10.2 MB
21. Part 6 - Conclusion.srt	0.8 KB
/7. Keras/
1. Overview.mp4	7.1 MB
1. Overview.srt	0.7 KB
2. Intro to Keras.mp4	20.9 MB
2. Intro to Keras.srt	2.8 KB
3. Starter Code.html	0.5 KB
4. Keras Models.mp4	183.8 MB
4. Keras Models.srt	28.1 KB
5. Keras - Predictions.mp4	151.5 MB
5. Keras - Predictions.srt	23.7 KB
6. Source Code.html	2.3 KB
7. Part 7 - Outro.mp4	5.1 MB
7. Part 7 - Outro.srt	0.5 KB
/8. Deep Neural Networks/
1. Overview.mp4	16.4 MB
1. Overview.srt	1.1 KB
2. Non-Linear Boundaries.mp4	74.6 MB
2. Non-Linear Boundaries.srt	6.8 KB
3. Architecture.mp4	132.2 MB
3. Architecture.srt	13.5 KB
4. Feedforward Process.mp4	93.2 MB
4. Feedforward Process.srt	11.4 KB
5. Error Function.mp4	56.7 MB
5. Error Function.srt	6.3 KB
6. Backpropagation.mp4	68.6 MB
6. Backpropagation.srt	7.7 KB
7. Code Implementation.mp4	214.2 MB
7. Code Implementation.srt	34.4 KB
8. Source Code.html	2.0 KB
9. Section 8 - Conclusion.mp4	6.3 MB
9. Section 8 - Conclusion.srt	0.6 KB
/9. Multiclass Classification/
1. Overview.mp4	10.9 MB
1. Overview.srt	0.9 KB
2. Softmax.mp4	148.6 MB
2. Softmax.srt	16.7 KB
3. Cross Entropy.mp4	85.9 MB
3. Cross Entropy.srt	12.0 KB
4. Implementation.mp4	257.2 MB
4. Implementation.srt	41.2 KB
5. Source Code.html	2.4 KB
6. Section 9 - Outro.mp4	5.7 MB
6. Section 9 - Outro.srt	0.5 KB
/10. MNIST Image Recognition/
1. Overview.mp4	11.4 MB
1. Overview.srt	1.1 KB
2. MNIST Dataset.mp4	74.4 MB
2. MNIST Dataset.srt	6.6 KB
3. Train & Test.mp4	138.5 MB
3. Train & Test.srt	16.6 KB
4. Hyperparameters.mp4	85.2 MB
4. Hyperparameters.srt	8.5 KB
5. Implementation Part 1.mp4	203.4 MB
5. Implementation Part 1.srt	40.3 KB
6. Implementation Part 2.mp4	163.5 MB
6. Implementation Part 2.srt	24.9 KB
7. Resource for upcoming video.html	0.2 KB
8. Implementation Part 3.mp4	79.0 MB
8. Implementation Part 3.srt	12.9 KB
9. Final Source Code.html	3.8 KB
10. Section 10 - Outro.mp4	6.2 MB
10. Section 10 - Outro.srt	0.6 KB
/11. Convolutional Neural Networks/
1. Overview.mp4	10.1 MB
1. Overview.srt	1.0 KB
2. Convolutions & MNIST.mp4	94.3 MB
2. Convolutions & MNIST.srt	8.1 KB
3. Convolutional Layer.mp4	241.0 MB
3. Convolutional Layer.srt	23.1 KB
4. Convolutions II.mp4	83.7 MB
4. Convolutions II.srt	10.0 KB
5. Pooling.mp4	169.8 MB
5. Pooling.srt	18.5 KB
6. Fully Connected Layer.mp4	81.7 MB
6. Fully Connected Layer.srt	8.1 KB
7. Starter Code.html	6.5 KB
8. Code Implementation I.mp4	266.9 MB
8. Code Implementation I.srt	37.8 KB
9. Code Implementation II.mp4	223.8 MB
9. Code Implementation II.srt	30.7 KB
10. Final Source Code.html	5.2 KB
11. Section 11 - Conclusion.mp4	5.0 MB
11. Section 11 - Conclusion.srt	0.5 KB
/12. Classifying Road Symbols/
1. Overview.mp4	15.2 MB
1. Overview.srt	1.5 KB
2. Traffic Signs Starter Code.html	1.5 KB
3. Preprocessing Images.mp4	346.5 MB
3. Preprocessing Images.srt	50.4 KB
3.1 Traffic Signs Starter Project.ipynb.zip.zip	1.6 KB
4. leNet Implementation.mp4	135.7 MB
4. leNet Implementation.srt	23.7 KB
5. Fine-tuning Model.mp4	122.7 MB
5. Fine-tuning Model.srt	17.8 KB
6. Resources Needed for Testing.html	2.2 KB
7. Testing.mp4	66.2 MB
7. Testing.srt	7.6 KB
8. Fit Generator.mp4	167.6 MB
8. Fit Generator.srt	26.9 KB
9. Final Source Code.html	7.5 KB
10. Section 12 - Outro.mp4	10.4 MB
10. Section 12 - Outro.srt	1.0 KB
/13. Polynomial Regression/
1. Overview.mp4	7.9 MB
1. Overview.srt	0.7 KB
2. Implementation.mp4	135.1 MB
2. Implementation.srt	17.5 KB
3. Final Source Code.html	0.8 KB
4. Section 13 - Conclusion.mp4	5.4 MB
4. Section 13 - Conclusion.srt	0.6 KB
Total files 304