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[Udemy] Simulate Self-Driving Cars with Computer Vision & Deep Learning [2019, ENG]
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2023-8-4 02:47
2024-12-27 16:45
325
9.46 GB
139
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相关链接
Udemy
Simulate
Self-Driving
Cars
with
Computer
Vision
&
Deep
Learning
2019
ENG
文件列表
1. Introduction/1. Introduction.mp4
40.47MB
10. MNIST Image Recognition/1. Overview.mp4
10.82MB
10. MNIST Image Recognition/10. Section 10 - Outro.mp4
5.95MB
10. MNIST Image Recognition/2. MNIST Dataset.mp4
70.95MB
10. MNIST Image Recognition/3. Train & Test.mp4
132.03MB
10. MNIST Image Recognition/4. Hyperparameters.mp4
81.22MB
10. MNIST Image Recognition/5. Implementation Part 1.mp4
194.01MB
10. MNIST Image Recognition/6. Implementation Part 2.mp4
155.89MB
10. MNIST Image Recognition/8. Implementation Part 3.mp4
75.32MB
11. Convolutional Neural Networks/1. Overview.mp4
9.62MB
11. Convolutional Neural Networks/11. Section 11 - Conclusion.mp4
4.76MB
11. Convolutional Neural Networks/2. Convolutions & MNIST.mp4
89.98MB
11. Convolutional Neural Networks/3. Convolutional Layer.mp4
229.79MB
11. Convolutional Neural Networks/4. Convolutions II.mp4
79.78MB
11. Convolutional Neural Networks/5. Pooling.mp4
161.91MB
11. Convolutional Neural Networks/6. Fully Connected Layer.mp4
77.89MB
11. Convolutional Neural Networks/8. Code Implementation I.mp4
254.52MB
11. Convolutional Neural Networks/9. Code Implementation II.mp4
213.41MB
12. Traffic Sign Classification/1. Overview.mp4
14.48MB
12. Traffic Sign Classification/10. Section 12 - Outro.mp4
9.93MB
12. Traffic Sign Classification/3. Preprocessing Images.mp4
330.4MB
12. Traffic Sign Classification/4. leNet Implementation.mp4
129.38MB
12. Traffic Sign Classification/5. Fine-tuning Model.mp4
117.04MB
12. Traffic Sign Classification/7. Testing.mp4
63.14MB
12. Traffic Sign Classification/8. Fit Generator.mp4
159.83MB
13. Polynomial Regression/1. Overview.mp4
7.54MB
13. Polynomial Regression/2. Implementation.mp4
128.85MB
13. Polynomial Regression/4. Section 13 - Conclusion.mp4
5.18MB
14. Behavioural Cloning/1. Overview.mp4
50.21MB
14. Behavioural Cloning/10. Self Driving Car - Test 1.mp4
165.96MB
14. Behavioural Cloning/11. Generator - Augmentation Techniques.mp4
380.88MB
14. Behavioural Cloning/12. Batch Generator.mp4
95.1MB
14. Behavioural Cloning/13. Fit Generator.mp4
248.4MB
14. Behavioural Cloning/15. Outro.mp4
19.57MB
14. Behavioural Cloning/2. Collecting Data.mp4
282.4MB
14. Behavioural Cloning/3. Downloading Data.mp4
130.61MB
14. Behavioural Cloning/4. Balancing Data.mp4
74.71MB
14. Behavioural Cloning/5. Training & Validation Split.mp4
65.73MB
14. Behavioural Cloning/6. Preprocessing Images.mp4
161.74MB
14. Behavioural Cloning/7. Defining Nvidia Model.mp4
198.54MB
14. Behavioural Cloning/9. Flask & Socket.io.mp4
99.76MB
15. Final Codes & Outputs/12. Simulation Output Results - Training Track.mp4
107.62MB
15. Final Codes & Outputs/13. Simulation Output Results - Test Track.mp4
150.52MB
2. Installation/1. Overview.mp4
10.49MB
2. Installation/2. Anaconda Distribution.mp4
26.28MB
2. Installation/3. Jupyter Notebooks.mp4
41.92MB
2. Installation/4. Text Editor.mp4
29.09MB
2. Installation/5. Outro.mp4
5.52MB
3. Python Crash Course (Optional)/1. Python Crash Course Part 1 - Data Types.mp4
15.22MB
3. Python Crash Course (Optional)/10. Membership Operators.mp4
13.78MB
3. Python Crash Course (Optional)/11. Mutability.mp4
32.97MB
3. Python Crash Course (Optional)/12. Mutability II.mp4
31.64MB
3. Python Crash Course (Optional)/13. Common Functions & Methods.mp4
46.79MB
3. Python Crash Course (Optional)/14. Tuples.mp4
23.05MB
3. Python Crash Course (Optional)/15. Sets.mp4
19.64MB
3. Python Crash Course (Optional)/16. Dictionaries.mp4
35.34MB
3. Python Crash Course (Optional)/17. Compound Data Structures.mp4
20.19MB
3. Python Crash Course (Optional)/18. Part 1 - Outro.mp4
3.62MB
3. Python Crash Course (Optional)/19. Part 2 - Control Flow.mp4
11.47MB
3. Python Crash Course (Optional)/2. Arithmetic Operations.mp4
25.43MB
3. Python Crash Course (Optional)/20. If, else.mp4
27.16MB
3. Python Crash Course (Optional)/21. elif.mp4
49.03MB
3. Python Crash Course (Optional)/22. Complex Comparisons.mp4
29.52MB
3. Python Crash Course (Optional)/23. For Loops.mp4
38.49MB
3. Python Crash Course (Optional)/24. For Loops II.mp4
15.06MB
3. Python Crash Course (Optional)/25. While Loops.mp4
20.19MB
3. Python Crash Course (Optional)/26. Break.mp4
19.71MB
3. Python Crash Course (Optional)/27. Part 2 - Outro.mp4
4.48MB
3. Python Crash Course (Optional)/28. Part 3 - Functions.mp4
11.43MB
3. Python Crash Course (Optional)/29. Functions.mp4
31.62MB
3. Python Crash Course (Optional)/3. Variables.mp4
27.67MB
3. Python Crash Course (Optional)/30. Scope.mp4
13.16MB
3. Python Crash Course (Optional)/31. Doc Strings.mp4
19.59MB
3. Python Crash Course (Optional)/32. Lambda & Higher Order Functions.mp4
28.4MB
3. Python Crash Course (Optional)/33. Part 3 - Outro.mp4
8.84MB
3. Python Crash Course (Optional)/4. Numeric Data Types.mp4
23.5MB
3. Python Crash Course (Optional)/5. String Data Types.mp4
41.95MB
3. Python Crash Course (Optional)/6. Booleans.mp4
24.24MB
3. Python Crash Course (Optional)/7. Methods.mp4
20.69MB
3. Python Crash Course (Optional)/8. Lists.mp4
35.82MB
3. Python Crash Course (Optional)/9. Slicing.mp4
55.55MB
4. NumPy Crash Course (Optional)/1. Overview.mp4
10.59MB
4. NumPy Crash Course (Optional)/10. Part 4 - Outro.mp4
2.48MB
4. NumPy Crash Course (Optional)/2. Vector Addition - Arrays vs Lists.mp4
80.61MB
4. NumPy Crash Course (Optional)/3. Multidimensional Arrays.mp4
96.81MB
4. NumPy Crash Course (Optional)/4. One Dimensional Slicing.mp4
27.77MB
4. NumPy Crash Course (Optional)/5. Reshaping.mp4
23.4MB
4. NumPy Crash Course (Optional)/6. Multidimensional Slicing.mp4
49.16MB
4. NumPy Crash Course (Optional)/7. Manipulating Array Shapes.mp4
47.76MB
4. NumPy Crash Course (Optional)/8. Matrix Multiplication.mp4
34.28MB
4. NumPy Crash Course (Optional)/9. Stacking.mp4
82.3MB
5. Computer Vision Finding Lane-Lines/1. Overview.mp4
9MB
5. Computer Vision Finding Lane-Lines/10. Optimizing.mp4
164.52MB
5. Computer Vision Finding Lane-Lines/12. Finding Lanes on Video.mp4
82.8MB
5. Computer Vision Finding Lane-Lines/12.1 test2.mp4.mp4
31.93MB
5. Computer Vision Finding Lane-Lines/14. Part 5 - Conclusion.mp4
10.23MB
5. Computer Vision Finding Lane-Lines/2. Loading Images.mp4
30.72MB
5. Computer Vision Finding Lane-Lines/3. Grayscale.mp4
47.23MB
5. Computer Vision Finding Lane-Lines/4. Gaussian Blur.mp4
30.56MB
5. Computer Vision Finding Lane-Lines/5. Canny Edge Detection.mp4
42.63MB
5. Computer Vision Finding Lane-Lines/6. Region of Interest.mp4
49.32MB
5. Computer Vision Finding Lane-Lines/7. Binary Numbers & Bitwise_and.mp4
91.79MB
5. Computer Vision Finding Lane-Lines/8. Hough Transform.mp4
132.64MB
5. Computer Vision Finding Lane-Lines/9. Hough Transform II.mp4
114.7MB
6. Intro to Neural Networks/1. Overview.mp4
27.76MB
6. Intro to Neural Networks/10. Error Function.mp4
41.63MB
6. Intro to Neural Networks/11. Sigmoid.mp4
61.73MB
6. Intro to Neural Networks/12. Sigmoid Implementation (Code).mp4
90.73MB
6. Intro to Neural Networks/14. Cross Entropy.mp4
62.72MB
6. Intro to Neural Networks/15. Cross Entropy (Code).mp4
61.24MB
6. Intro to Neural Networks/17. Gradient Descent.mp4
45.18MB
6. Intro to Neural Networks/18. Gradient Descent (Code).mp4
75.74MB
6. Intro to Neural Networks/19. Recap.mp4
17.74MB
6. Intro to Neural Networks/2. Machine Learning.mp4
37.03MB
6. Intro to Neural Networks/21. Part 6 - Conclusion.mp4
9.69MB
6. Intro to Neural Networks/3. Linear Regression.mp4
46.58MB
6. Intro to Neural Networks/4. Classification.mp4
82.07MB
6. Intro to Neural Networks/5. Linear Model.mp4
86.36MB
6. Intro to Neural Networks/6. Perceptrons.mp4
50.67MB
6. Intro to Neural Networks/7. Weights.mp4
25.29MB
6. Intro to Neural Networks/8. Project - Initial Stages.mp4
78.25MB
7. Keras/1. Overview.mp4
6.8MB
7. Keras/2. Intro to Keras.mp4
21.45MB
7. Keras/4. Keras Models.mp4
175.26MB
7. Keras/5. Keras - Predictions.mp4
144.45MB
7. Keras/7. Part 7 - Outro.mp4
4.82MB
8. Deep Neural Networks/1. Overview.mp4
15.64MB
8. Deep Neural Networks/2. Non-Linear Boundaries.mp4
71.11MB
8. Deep Neural Networks/3. Architecture.mp4
126.02MB
8. Deep Neural Networks/4. Feedforward Process.mp4
88.89MB
8. Deep Neural Networks/5. Error Function.mp4
54.06MB
8. Deep Neural Networks/6. Backpropagation.mp4
65.39MB
8. Deep Neural Networks/7. Code Implementation.mp4
204.24MB
8. Deep Neural Networks/9. Section 8 - Conclusion.mp4
6.01MB
9. Multiclass Classification/1. Overview.mp4
10.39MB
9. Multiclass Classification/2. Softmax.mp4
141.66MB
9. Multiclass Classification/3. Cross Entropy.mp4
81.94MB
9. Multiclass Classification/4. Implementation.mp4
245.29MB
9. Multiclass Classification/6. Section 9 - Outro.mp4
5.39MB
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