The Complete Self Driving Car Course Applied Deep Learning | 56C7967901581787872C3631A7FD33AB89571633

The Complete Self Driving Car Course Applied Deep Learning

Name	The Complete Self-Driving Car Course - Applied Deep Learning	DOWNLOAD Copy Link
Total Size	8.9 GB
Total Files	315
Hash	56C7967901581787872C3631A7FD33AB89571633

/12. Traffic Sign Classification/
3. Preprocessing Images.mp4	346.4 MB
1. Overview.mp4	15.2 MB
1. Overview.vtt	1.3 KB
2. Traffic Signs Starter Code.html	1.5 KB
3. Preprocessing Images.vtt	44.1 KB
3.1 Traffic Signs Starter Project.ipynb.zip.zip	1.6 KB
4. leNet Implementation.mp4	135.7 MB
4. leNet Implementation.vtt	20.8 KB
5. Fine-tuning Model.mp4	122.7 MB
5. Fine-tuning Model.vtt	15.7 KB
6. Resources Needed for Testing.html	2.2 KB
7. Testing.mp4	66.2 MB
7. Testing.vtt	0.3 KB
8. Fit Generator.mp4	167.6 MB
8. Fit Generator.vtt	0.3 KB
9. Final Source Code.html	7.5 KB
10. Section 12 - Outro.mp4	10.4 MB
10. Section 12 - Outro.vtt	0.3 KB
/1. Introduction/
1. Introduction.vtt	3.3 KB
1. Introduction.mp4	42.4 MB
/2. Installation/
1. Overview.mp4	11.0 MB
1. Overview.vtt	1.1 KB
2. Anaconda Distribution.mp4	27.6 MB
2. Anaconda Distribution.vtt	3.0 KB
3. Jupyter Notebooks.mp4	44.0 MB
3. Jupyter Notebooks.vtt	6.3 KB
4. Text Editor.mp4	30.5 MB
4. Text Editor.vtt	3.3 KB
5. Outro.mp4	5.8 MB
5. Outro.vtt	0.7 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.vtt	1.4 KB
2. Arithmetic Operations.mp4	26.7 MB
2. Arithmetic Operations.vtt	5.0 KB
3. Variables.mp4	29.0 MB
3. Variables.vtt	5.7 KB
4. Numeric Data Types.mp4	24.6 MB
4. Numeric Data Types.vtt	4.2 KB
5. String Data Types.mp4	44.0 MB
5. String Data Types.vtt	5.9 KB
6. Booleans.mp4	25.4 MB
6. Booleans.vtt	4.7 KB
7. Methods.mp4	21.7 MB
7. Methods.vtt	3.3 KB
8. Lists.mp4	37.6 MB
8. Lists.vtt	5.8 KB
9. Slicing.mp4	58.3 MB
9. Slicing.vtt	8.0 KB
10. Membership Operators.mp4	14.4 MB
10. Membership Operators.vtt	2.7 KB
11. Mutability.mp4	34.6 MB
11. Mutability.vtt	4.2 KB
12. Mutability II.mp4	33.2 MB
12. Mutability II.vtt	3.7 KB
13. Common Functions & Methods.mp4	49.1 MB
13. Common Functions & Methods.vtt	7.2 KB
14. Tuples.mp4	24.2 MB
14. Tuples.vtt	3.4 KB
15. Sets.mp4	20.6 MB
15. Sets.vtt	2.7 KB
16. Dictionaries.mp4	37.1 MB
16. Dictionaries.vtt	4.9 KB
17. Compound Data Structures.mp4	21.2 MB
17. Compound Data Structures.vtt	2.5 KB
18. Part 1 - Outro.mp4	3.8 MB
18. Part 1 - Outro.vtt	0.4 KB
19. Part 2 - Control Flow.mp4	12.0 MB
19. Part 2 - Control Flow.vtt	1.0 KB
20. If, else.mp4	28.5 MB
20. If, else.vtt	4.5 KB
21. elif.mp4	51.4 MB
21. elif.vtt	6.7 KB
22. Complex Comparisons.mp4	31.0 MB
22. Complex Comparisons.vtt	4.9 KB
23. For Loops.mp4	40.4 MB
23. For Loops.vtt	6.8 KB
24. For Loops II.mp4	15.8 MB
24. For Loops II.vtt	3.0 KB
25. While Loops.mp4	21.2 MB
25. While Loops.vtt	3.2 KB
26. Break.mp4	20.7 MB
26. Break.vtt	3.6 KB
27. Part 2 - Outro.mp4	4.7 MB
27. Part 2 - Outro.vtt	0.4 KB
28. Part 3 - Functions.mp4	12.0 MB
28. Part 3 - Functions.vtt	1.1 KB
29. Functions.mp4	33.2 MB
29. Functions.vtt	5.5 KB
30. Scope.mp4	13.8 MB
30. Scope.vtt	1.8 KB
31. Doc Strings.mp4	20.5 MB
31. Doc Strings.vtt	2.6 KB
32. Lambda & Higher Order Functions.mp4	29.8 MB
32. Lambda & Higher Order Functions.vtt	6.7 KB
33. Part 3 - Outro.mp4	9.3 MB
33. Part 3 - Outro.vtt	0.8 KB
/4. NumPy Crash Course (Optional)/
1. Overview.mp4	11.1 MB
1. Overview.vtt	0.9 KB
2. Vector Addition - Arrays vs Lists.mp4	91.0 MB
2. Vector Addition - Arrays vs Lists.vtt	13.0 KB
3. Multidimensional Arrays.mp4	101.5 MB
3. Multidimensional Arrays.vtt	12.1 KB
4. One Dimensional Slicing.mp4	29.1 MB
4. One Dimensional Slicing.vtt	4.0 KB
5. Reshaping.mp4	24.5 MB
5. Reshaping.vtt	3.6 KB
6. Multidimensional Slicing.mp4	51.6 MB
6. Multidimensional Slicing.vtt	7.5 KB
7. Manipulating Array Shapes.mp4	50.1 MB
7. Manipulating Array Shapes.vtt	8.6 KB
8. Matrix Multiplication.mp4	35.9 MB
8. Matrix Multiplication.vtt	4.3 KB
9. Stacking.mp4	86.3 MB
9. Stacking.vtt	13.2 KB
10. Part 4 - Outro.mp4	2.6 MB
10. Part 4 - Outro.vtt	0.3 KB
/5. Computer Vision Finding Lane-Lines/
1. Overview.mp4	9.4 MB
1. Overview.vtt	0.8 KB
2. Image needed for the next lesson.html	0.1 KB
2.1 Image.zip.zip	777.3 KB
3. Loading Images.mp4	32.2 MB
3. Loading Images.vtt	5.0 KB
3.1 Image.zip.zip	777.3 KB
4. Grayscale.mp4	49.5 MB
4. Grayscale.vtt	4.8 KB
5. Gaussian Blur.mp4	32.0 MB
5. Gaussian Blur.vtt	3.5 KB
6. Canny Edge Detection.mp4	44.7 MB
6. Canny Edge Detection.vtt	4.9 KB
7. Region of Interest.mp4	51.7 MB
7. Region of Interest.vtt	8.0 KB
8. Binary Numbers & Bitwise_and.mp4	96.2 MB
8. Binary Numbers & Bitwise_and.vtt	10.5 KB
9. Hough Transform.mp4	139.1 MB
9. Hough Transform.vtt	12.3 KB
10. Hough Transform II.mp4	120.3 MB
10. Hough Transform II.vtt	14.6 KB
11. Optimizing.mp4	172.5 MB
11. Optimizing.vtt	15.1 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.vtt	7.3 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.vtt	0.8 KB
/6. Intro to Neural Networks/
1. Overview.mp4	29.1 MB
1. Overview.vtt	2.0 KB
2. Machine Learning.mp4	38.8 MB
2. Machine Learning.vtt	3.5 KB
3. Linear Regression.mp4	48.8 MB
3. Linear Regression.vtt	4.9 KB
4. Classification.mp4	86.1 MB
4. Classification.vtt	8.8 KB
5. Linear Model.mp4	90.6 MB
5. Linear Model.vtt	8.0 KB
6. Perceptrons.mp4	53.1 MB
6. Perceptrons.vtt	4.8 KB
7. Weights.mp4	26.5 MB
7. Weights.vtt	2.3 KB
8. Project - Initial Stages.mp4	82.1 MB
8. Project - Initial Stages.vtt	13.2 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.vtt	5.0 KB
11. Sigmoid.mp4	64.7 MB
11. Sigmoid.vtt	7.6 KB
12. Sigmoid Implementation (Code).mp4	95.1 MB
12. Sigmoid Implementation (Code).vtt	13.5 KB
13. Source code.html	1.0 KB
14. Cross Entropy.mp4	65.8 MB
14. Cross Entropy.vtt	7.5 KB
15. Cross Entropy (Code).mp4	64.2 MB
15. Cross Entropy (Code).vtt	8.7 KB
16. Source Code.html	1.2 KB
17. Gradient Descent.mp4	47.4 MB
17. Gradient Descent.vtt	3.4 KB
18. Gradient Descent (Code).mp4	79.4 MB
18. Gradient Descent (Code).vtt	9.8 KB
19. Recap.mp4	18.6 MB
19. Recap.vtt	2.6 KB
20. Source Code.html	2.0 KB
21. Part 6 - Conclusion.mp4	10.2 MB
21. Part 6 - Conclusion.vtt	0.8 KB
/7. Keras/
1. Overview.mp4	7.1 MB
1. Overview.vtt	0.7 KB
2. Intro to Keras.mp4	22.5 MB
2. Intro to Keras.vtt	2.4 KB
3. Starter Code.html	0.5 KB
4. Keras Models.mp4	183.8 MB
4. Keras Models.vtt	24.7 KB
5. Keras - Predictions.mp4	151.5 MB
5. Keras - Predictions.vtt	20.8 KB
6. Source Code.html	2.3 KB
7. Part 7 - Outro.mp4	5.1 MB
7. Part 7 - Outro.vtt	0.4 KB
/8. Deep Neural Networks/
1. Overview.mp4	16.4 MB
1. Overview.vtt	1.0 KB
2. Non-Linear Boundaries.mp4	74.6 MB
2. Non-Linear Boundaries.vtt	6.0 KB
3. Architecture.mp4	132.1 MB
3. Architecture.vtt	11.9 KB
4. Feedforward Process.mp4	93.2 MB
4. Feedforward Process.vtt	10.1 KB
5. Error Function.mp4	56.7 MB
5. Error Function.vtt	5.6 KB
6. Backpropagation.mp4	68.6 MB
6. Backpropagation.vtt	6.7 KB
7. Code Implementation.mp4	214.2 MB
7. Code Implementation.vtt	30.2 KB
8. Source Code.html	2.0 KB
9. Section 8 - Conclusion.mp4	6.3 MB
9. Section 8 - Conclusion.vtt	0.5 KB
/9. Multiclass Classification/
1. Overview.mp4	10.9 MB
1. Overview.vtt	0.8 KB
2. Softmax.mp4	148.5 MB
2. Softmax.vtt	14.7 KB
3. Cross Entropy.mp4	85.9 MB
3. Cross Entropy.vtt	10.5 KB
4. Implementation.mp4	257.2 MB
4. Implementation.vtt	36.0 KB
5. Source Code.html	2.4 KB
6. Section 9 - Outro.mp4	5.7 MB
6. Section 9 - Outro.vtt	0.4 KB
/10. MNIST Image Recognition/
1. Overview.mp4	11.3 MB
1. Overview.vtt	1.0 KB
2. MNIST Dataset.mp4	74.4 MB
2. MNIST Dataset.vtt	5.8 KB
3. Train & Test.mp4	138.4 MB
3. Train & Test.vtt	14.6 KB
4. Hyperparameters.mp4	85.2 MB
4. Hyperparameters.vtt	7.5 KB
5. Implementation Part 1.mp4	203.4 MB
5. Implementation Part 1.vtt	35.3 KB
6. Implementation Part 2.mp4	163.5 MB
6. Implementation Part 2.vtt	21.9 KB
7. Resource for upcoming video.html	0.2 KB
8. Implementation Part 3.mp4	79.0 MB
8. Implementation Part 3.vtt	11.3 KB
9. Final Source Code.html	3.8 KB
10. Section 10 - Outro.mp4	6.2 MB
10. Section 10 - Outro.vtt	0.5 KB
/11. Convolutional Neural Networks/
1. Overview.mp4	10.1 MB
1. Overview.vtt	0.9 KB
2. Convolutions & MNIST.mp4	94.3 MB
2. Convolutions & MNIST.vtt	7.3 KB
3. Convolutional Layer.mp4	241.0 MB
3. Convolutional Layer.vtt	20.5 KB
4. Convolutions II.mp4	83.7 MB
4. Convolutions II.vtt	8.8 KB
5. Pooling.mp4	169.8 MB
5. Pooling.vtt	16.4 KB
6. Fully Connected Layer.mp4	81.7 MB
6. Fully Connected Layer.vtt	7.2 KB
7. Starter Code.html	6.5 KB
8. Code Implementation I.mp4	266.9 MB
8. Code Implementation I.vtt	33.1 KB
9. Code Implementation II.mp4	223.8 MB
9. Code Implementation II.vtt	27.0 KB
10. Final Source Code.html	5.2 KB
11. Section 11 - Conclusion.mp4	5.0 MB
11. Section 11 - Conclusion.vtt	0.4 KB
/13. Polynomial Regression/
1. Overview.mp4	7.9 MB
1. Overview.vtt	0.3 KB
2. Implementation.mp4	135.1 MB
2. Implementation.vtt	0.3 KB
3. Final Source Code.html	0.8 KB
4. Section 13 - Conclusion.mp4	5.4 MB
4. Section 13 - Conclusion.vtt	0.3 KB
/14. Behavioural Cloning/
1. Overview.mp4	52.6 MB
1. Overview.vtt	0.3 KB
2. Collecting Data.mp4	296.1 MB
2. Collecting Data.vtt	0.3 KB
3. Downloading Data.mp4	137.0 MB
3. Downloading Data.vtt	0.3 KB
4. Balancing Data.mp4	78.3 MB
4. Balancing Data.vtt	0.3 KB
5. Training & Validation Split.mp4	68.9 MB
5. Training & Validation Split.vtt	0.3 KB
6. Preprocessing Images.mp4	169.6 MB
6. Preprocessing Images.vtt	0.3 KB
7. Defining Nvidia Model.mp4	208.2 MB
7. Defining Nvidia Model.vtt	0.3 KB
8. Drive.py code.html	2.1 KB
9. Flask & Socket.io.mp4	0.4 KB
9. Flask & Socket.io.vtt	0.3 KB
10. Self Driving Car - Test 1.mp4	0.4 KB
10. Self Driving Car - Test 1.vtt	0.3 KB
11. Generator - Augmentation Techniques.mp4	0.4 KB
11. Generator - Augmentation Techniques.vtt	0.3 KB
12. Batch Generator.mp4	0.4 KB
12. Batch Generator.vtt	0.3 KB
13. Fit Generator.mp4	0.4 KB
13. Fit Generator.vtt	0.3 KB
14. Final Source Code.html	10.4 KB
15. Outro.mp4	0.4 KB
15. Outro.vtt	0.3 KB
/15. Final Codes & Outputs/
1. Overview.html	0.3 KB
2. Code 1 - Computer Vision.html	3.0 KB
3. Code 2 - Intro to Neural Networks.html	2.0 KB
4. Code 3 - Intro to Keras.html	2.3 KB
5. Code 4 - Deep Neural Networks.html	2.0 KB
6. Code 5 - Multiclass Classification.html	2.4 KB
7. Code 6 - MNIST Image Recognition.html	3.8 KB
8. Code 7 - Convolutional Neural Networks.html	5.2 KB
9. Code 8 - Traffic Sign Classification.html	7.5 KB
10. Code 9 - Polynomial Regression.html	0.9 KB
11. Code 10 - Behavioural Cloning.html	10.4 KB
12. Simulation Output Results - Training Track.mp4	0.4 KB
12. Simulation Output Results - Training Track.vtt	0.3 KB
13. Simulation Output Results - Test Track.mp4	0.4 KB
13. Simulation Output Results - Test Track.vtt	0.3 KB
Total files 315