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[FreeCourseSite.com] Udemy - Autonomous Cars Deep Learning and Computer Vision in Python

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Number of Files:

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Convert On:

2021-03-18

Keywords:

FreeCourseSite com Udemy Autonomous Cars Deep Learning and Computer Vision in Python

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Size

0. Websites you may like/[CourseClub.ME].url

122B

0. Websites you may like/[FCS Forum].url

133B

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127B

1. Environment Setup and Installation/1. Introduction.mp4

74.83MB

1. Environment Setup and Installation/1. Introduction.vtt

4.09KB

1. Environment Setup and Installation/2. Install Anaconda, OpenCV, Tensorflow, and the Course Materials.mp4

61.53MB

1. Environment Setup and Installation/2. Install Anaconda, OpenCV, Tensorflow, and the Course Materials.vtt

7.06KB

1. Environment Setup and Installation/2.1 Course materials page.html

102B

1. Environment Setup and Installation/3. Test your Environment with Real-Time Edge Detection in a Jupyter Notebook.mp4

61.34MB

1. Environment Setup and Installation/3. Test your Environment with Real-Time Edge Detection in a Jupyter Notebook.vtt

8.55KB

1. Environment Setup and Installation/4. Udemy 101 Getting the Most From This Course.mp4

19.73MB

1. Environment Setup and Installation/4. Udemy 101 Getting the Most From This Course.vtt

3.47KB

10. Deep Learning and Tensorflow Part 1/1. Intro to Deep Learning and Tensorflow.mp4

74.52MB

10. Deep Learning and Tensorflow Part 1/1. Intro to Deep Learning and Tensorflow.vtt

14.61KB

10. Deep Learning and Tensorflow Part 1/2. Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding..mp4

63.86MB

10. Deep Learning and Tensorflow Part 1/2. Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding..vtt

15.65KB

10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4

134.56MB

10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.vtt

20.69KB

10. Deep Learning and Tensorflow Part 1/4. ReLU Activation, and Preventing Overfitting with Dropout Regularlization.mp4

43.57MB

10. Deep Learning and Tensorflow Part 1/4. ReLU Activation, and Preventing Overfitting with Dropout Regularlization.vtt

9.33KB

10. Deep Learning and Tensorflow Part 1/5. [Activity] Improving our Classifier with Dropout Regularization.mp4

41.38MB

10. Deep Learning and Tensorflow Part 1/5. [Activity] Improving our Classifier with Dropout Regularization.vtt

6.26KB

11. Deep Learning and Tensorflow Part 2/1. Convolutional Neural Networks (CNN's).mp4

70.9MB

11. Deep Learning and Tensorflow Part 2/1. Convolutional Neural Networks (CNN's).vtt

9.75KB

11. Deep Learning and Tensorflow Part 2/2. Implementing CNN's in Keras.mp4

42.33MB

11. Deep Learning and Tensorflow Part 2/2. Implementing CNN's in Keras.vtt

8.8KB

11. Deep Learning and Tensorflow Part 2/3. [Activity] Classifying Images with a Simple CNN, Part 1.mp4

83.58MB

11. Deep Learning and Tensorflow Part 2/3. [Activity] Classifying Images with a Simple CNN, Part 1.vtt

11.23KB

11. Deep Learning and Tensorflow Part 2/4. [Activity] Classifying Images with a Simple CNN, Part 2.mp4

67.15MB

11. Deep Learning and Tensorflow Part 2/4. [Activity] Classifying Images with a Simple CNN, Part 2.vtt

11.21KB

11. Deep Learning and Tensorflow Part 2/5. Max Pooling.mp4

8.49MB

11. Deep Learning and Tensorflow Part 2/5. Max Pooling.vtt

3.92KB

11. Deep Learning and Tensorflow Part 2/6. [Activity] Improving our CNN's Topology and with Max Pooling.mp4

102.24MB

11. Deep Learning and Tensorflow Part 2/6. [Activity] Improving our CNN's Topology and with Max Pooling.vtt

14.58KB

11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4

150.58MB

11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.vtt

17.25KB

11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4

175.33MB

11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.vtt

25.9KB

12. Wrapping Up/1. Bonus Lecture Keep Learning with Sundog Education.mp4

22.18MB

12. Wrapping Up/1. Bonus Lecture Keep Learning with Sundog Education.vtt

1.79KB

2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4

145.92MB

2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.vtt

17.2KB

2. Introduction to Self-Driving Cars/2. Course Overview and Learning Outcomes.mp4

14.53MB

2. Introduction to Self-Driving Cars/2. Course Overview and Learning Outcomes.vtt

4.96KB

3. Python Crash Course [Optional]/1. Python Basics Whitespace, Imports, and Lists.mp4

68.22MB

3. Python Crash Course [Optional]/1. Python Basics Whitespace, Imports, and Lists.vtt

15.61KB

3. Python Crash Course [Optional]/2. Python Basics Tuples and Dictionaries.mp4

30.8MB

3. Python Crash Course [Optional]/2. Python Basics Tuples and Dictionaries.vtt

8.72KB

3. Python Crash Course [Optional]/3. Python Basics Functions and Boolean Operations.mp4

27.21MB

3. Python Crash Course [Optional]/3. Python Basics Functions and Boolean Operations.vtt

8.15KB

3. Python Crash Course [Optional]/4. Python Basics Looping and an Exercise.mp4

19.1MB

3. Python Crash Course [Optional]/4. Python Basics Looping and an Exercise.vtt

7.26KB

3. Python Crash Course [Optional]/5. Introduction to Pandas.mp4

85.99MB

3. Python Crash Course [Optional]/5. Introduction to Pandas.vtt

17.29KB

3. Python Crash Course [Optional]/6. Introduction to MatPlotLib.mp4

85.11MB

3. Python Crash Course [Optional]/6. Introduction to MatPlotLib.vtt

19.07KB

3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4

146.72MB

3. Python Crash Course [Optional]/7. Introduction to Seaborn.vtt

25.47KB

4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4

118.76MB

4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.vtt

13KB

4. Computer Vision Basics Part 1/10. Convolutions - Sharpening and Blurring.mp4

84.09MB

4. Computer Vision Basics Part 1/10. Convolutions - Sharpening and Blurring.vtt

10.88KB

4. Computer Vision Basics Part 1/11. [Activity] Convolutions - Sharpening and Blurring.mp4

66.06MB

4. Computer Vision Basics Part 1/11. [Activity] Convolutions - Sharpening and Blurring.vtt

8.8KB

4. Computer Vision Basics Part 1/12. Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4

98.76MB

4. Computer Vision Basics Part 1/12. Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).vtt

14.75KB

4. Computer Vision Basics Part 1/13. [Activity] Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4

52.56MB

4. Computer Vision Basics Part 1/13. [Activity] Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).vtt

6.69KB

4. Computer Vision Basics Part 1/14. [Activity] Project #1 Canny Sobel and Laplace Edge Detection using Webcam.mp4

67.55MB

4. Computer Vision Basics Part 1/14. [Activity] Project #1 Canny Sobel and Laplace Edge Detection using Webcam.vtt

8.22KB

4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4

135.32MB

4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.vtt

15.32KB

4. Computer Vision Basics Part 1/3. what is an image and how is it digitally stored.mp4

98.55MB

4. Computer Vision Basics Part 1/3. what is an image and how is it digitally stored.vtt

11.97KB

4. Computer Vision Basics Part 1/4. [Activity] View colored image and convert RGB to Gray.mp4

86.13MB

4. Computer Vision Basics Part 1/4. [Activity] View colored image and convert RGB to Gray.vtt

12.95KB

4. Computer Vision Basics Part 1/5. [Activity] Detect lane lines in gray scale image.mp4

47.25MB

4. Computer Vision Basics Part 1/5. [Activity] Detect lane lines in gray scale image.vtt

7.25KB

4. Computer Vision Basics Part 1/6. [Activity] Detect lane lines in colored image.mp4

33.85MB

4. Computer Vision Basics Part 1/6. [Activity] Detect lane lines in colored image.vtt

5.25KB

4. Computer Vision Basics Part 1/7. What are the challenges of color selection technique.mp4

62.49MB

4. Computer Vision Basics Part 1/7. What are the challenges of color selection technique.vtt

5.42KB

4. Computer Vision Basics Part 1/8. Color Spaces.mp4

113.66MB

4. Computer Vision Basics Part 1/8. Color Spaces.vtt

14.19KB

4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4

166.92MB

4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.vtt

20.78KB

5. Computer Vision Basics Part 2/1. Image Transformation - Rotations, Translation and Resizing.mp4

75.5MB

5. Computer Vision Basics Part 2/1. Image Transformation - Rotations, Translation and Resizing.vtt

8.5KB

5. Computer Vision Basics Part 2/10. [Activity] Hough transform – practical example in python.mp4

75.83MB

5. Computer Vision Basics Part 2/10. [Activity] Hough transform – practical example in python.vtt

10.33KB

5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4

117.05MB

5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.vtt

16.79KB

5. Computer Vision Basics Part 2/2. [Activity] Code to perform rotation, translation and resizing.mp4

102.05MB

5. Computer Vision Basics Part 2/2. [Activity] Code to perform rotation, translation and resizing.vtt

13.6KB

5. Computer Vision Basics Part 2/3. Image Transformations – Perspective transform.mp4

59.66MB

5. Computer Vision Basics Part 2/3. Image Transformations – Perspective transform.vtt

6.9KB

5. Computer Vision Basics Part 2/4. [Activity] Perform non-affine image transformation on a traffic sign image.mp4

68.65MB

5. Computer Vision Basics Part 2/4. [Activity] Perform non-affine image transformation on a traffic sign image.vtt

9.1KB

5. Computer Vision Basics Part 2/5. Image cropping dilation and erosion.mp4

87.77MB

5. Computer Vision Basics Part 2/5. Image cropping dilation and erosion.vtt

9.85KB

5. Computer Vision Basics Part 2/6. [Activity] Code to perform Image cropping dilation and erosion.mp4

76.93MB

5. Computer Vision Basics Part 2/6. [Activity] Code to perform Image cropping dilation and erosion.vtt

9.4KB

5. Computer Vision Basics Part 2/7. Region of interest masking.mp4

51.92MB

5. Computer Vision Basics Part 2/7. Region of interest masking.vtt

6.96KB

5. Computer Vision Basics Part 2/8. [Activity] Code to define the region of interest.mp4

80.31MB

5. Computer Vision Basics Part 2/8. [Activity] Code to define the region of interest.vtt

10.74KB

5. Computer Vision Basics Part 2/9. Hough transform theory.mp4

141.5MB

5. Computer Vision Basics Part 2/9. Hough transform theory.vtt

19KB

6. Computer Vision Basics Part 3/1. Image Features and their importance for object detection.mp4

79MB

6. Computer Vision Basics Part 3/1. Image Features and their importance for object detection.vtt

7.7KB

6. Computer Vision Basics Part 3/10. [Activity] Code to obtain color histogram.mp4

40.35MB

6. Computer Vision Basics Part 3/10. [Activity] Code to obtain color histogram.vtt

5.16KB

6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4

169.49MB

6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).vtt

17.79KB

6. Computer Vision Basics Part 3/12. [Activity] Code to perform HOG Feature extraction.mp4

61.04MB

6. Computer Vision Basics Part 3/12. [Activity] Code to perform HOG Feature extraction.vtt

6.15KB

6. Computer Vision Basics Part 3/13. Feature Extraction - SIFT, SURF, FAST and ORB.mp4

42.43MB

6. Computer Vision Basics Part 3/13. Feature Extraction - SIFT, SURF, FAST and ORB.vtt

4.01KB

6. Computer Vision Basics Part 3/14. [Activity] FASTORB Feature Extraction in OpenCV.mp4

33.83MB

6. Computer Vision Basics Part 3/14. [Activity] FASTORB Feature Extraction in OpenCV.vtt

3.95KB

6. Computer Vision Basics Part 3/2. [Activity] Find a truck in an image manually!.mp4

42.47MB

6. Computer Vision Basics Part 3/2. [Activity] Find a truck in an image manually!.vtt

4.8KB

6. Computer Vision Basics Part 3/3. Template Matching - Find a Truck.mp4

90.26MB

6. Computer Vision Basics Part 3/3. Template Matching - Find a Truck.vtt

8.92KB

6. Computer Vision Basics Part 3/4. [Activity] Project Solution Find a Truck Using Template Matching.mp4

41.52MB

6. Computer Vision Basics Part 3/4. [Activity] Project Solution Find a Truck Using Template Matching.vtt

4.98KB

6. Computer Vision Basics Part 3/5. Corner detection – Harris.mp4

76.91MB

6. Computer Vision Basics Part 3/5. Corner detection – Harris.vtt

8.27KB

6. Computer Vision Basics Part 3/6. [Activity] Code to perform corner detection.mp4

57.08MB

6. Computer Vision Basics Part 3/6. [Activity] Code to perform corner detection.vtt

7.23KB

6. Computer Vision Basics Part 3/7. Image Scaling – Pyramiding updown.mp4

57.54MB

6. Computer Vision Basics Part 3/7. Image Scaling – Pyramiding updown.vtt

5.16KB

6. Computer Vision Basics Part 3/8. [Activity] Code to perform Image pyramiding.mp4

29.17MB

6. Computer Vision Basics Part 3/8. [Activity] Code to perform Image pyramiding.vtt

3.22KB

6. Computer Vision Basics Part 3/9. Histogram of colors.mp4

32.91MB

6. Computer Vision Basics Part 3/9. Histogram of colors.vtt

3.1KB

7. Machine Learning Part 1/1. What is Machine Learning.mp4

96.3MB

7. Machine Learning Part 1/1. What is Machine Learning.vtt

13.95KB

7. Machine Learning Part 1/2. Evaluating Machine Learning Systems with Cross-Validation.mp4

65.98MB

7. Machine Learning Part 1/2. Evaluating Machine Learning Systems with Cross-Validation.vtt

15.6KB

7. Machine Learning Part 1/3. Linear Regression.mp4

35.93MB

7. Machine Learning Part 1/3. Linear Regression.vtt

8.66KB

7. Machine Learning Part 1/4. [Activity] Linear Regression in Action.mp4

41.21MB

7. Machine Learning Part 1/4. [Activity] Linear Regression in Action.vtt

8.87KB

7. Machine Learning Part 1/5. Logistic Regression.mp4

11.37MB

7. Machine Learning Part 1/5. Logistic Regression.vtt

4.58KB

7. Machine Learning Part 1/6. [Activity] Logistic Regression In Action.mp4

93.02MB

7. Machine Learning Part 1/6. [Activity] Logistic Regression In Action.vtt

14.63KB

7. Machine Learning Part 1/7. Decision Trees and Random Forests.mp4

61.53MB

7. Machine Learning Part 1/7. Decision Trees and Random Forests.vtt

13.65KB

7. Machine Learning Part 1/8. [Activity] Decision Trees In Action.mp4

103.65MB

7. Machine Learning Part 1/8. [Activity] Decision Trees In Action.vtt

19.68KB

8. Machine Learning Part 2/1. Bayes Theorem and Naive Bayes.mp4

76.03MB

8. Machine Learning Part 2/1. Bayes Theorem and Naive Bayes.vtt

14.07KB

8. Machine Learning Part 2/2. [Activity] Naive Bayes in Action.mp4

78.78MB

8. Machine Learning Part 2/2. [Activity] Naive Bayes in Action.vtt

13.46KB

8. Machine Learning Part 2/3. Support Vector Machines (SVM) and Support Vector Classifiers (SVC).mp4

40.18MB

8. Machine Learning Part 2/3. Support Vector Machines (SVM) and Support Vector Classifiers (SVC).vtt

9.58KB

8. Machine Learning Part 2/4. [Activity] Support Vector Classifiers in Action.mp4

74.35MB

8. Machine Learning Part 2/4. [Activity] Support Vector Classifiers in Action.vtt

11.74KB

8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4

119.72MB

8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.vtt

14.24KB

8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4

204.08MB

8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.vtt

23.83KB

8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4

116.83MB

8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.vtt

12.16KB

9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4

127.77MB

9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.vtt

17.65KB

9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4

384.19MB

9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.vtt

54.87KB

9. Artificial Neural Networks/11. Example 2 - Build Multi-layer perceptron for binary classification.mp4

102.28MB

9. Artificial Neural Networks/11. Example 2 - Build Multi-layer perceptron for binary classification.vtt

12.97KB

9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4

119.67MB

9. Artificial Neural Networks/2. Single Neuron Perceptron Model.vtt

19.14KB

9. Artificial Neural Networks/3. Activation Functions.mp4

42.55MB

9. Artificial Neural Networks/3. Activation Functions.vtt

6.36KB

9. Artificial Neural Networks/4. ANN Training and dataset split.mp4

151.3MB

9. Artificial Neural Networks/4. ANN Training and dataset split.vtt

20.4KB

9. Artificial Neural Networks/5. Practical Example - Vehicle Speed Determination.mp4

67.5MB

9. Artificial Neural Networks/5. Practical Example - Vehicle Speed Determination.vtt

9.17KB

9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4

111.6MB

9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.vtt

15.08KB

9. Artificial Neural Networks/7. Backpropagation Training.mp4

84.25MB

9. Artificial Neural Networks/7. Backpropagation Training.vtt

11.25KB

9. Artificial Neural Networks/8. Code to Train a perceptron for binary classification.mp4

110.23MB

9. Artificial Neural Networks/8. Code to Train a perceptron for binary classification.vtt

15.96KB

9. Artificial Neural Networks/9. Two and Multi-layer Perceptron ANN.mp4

71.05MB

9. Artificial Neural Networks/9. Two and Multi-layer Perceptron ANN.vtt

10.13KB

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