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

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/1. Environment Setup and Installation/

1. Introduction.mp4

1. Introduction.vtt

2. Install Anaconda, OpenCV, Tensorflow, and the Course Materials.mp4

2. Install Anaconda, OpenCV, Tensorflow, and the Course Materials.vtt

2.1 Course materials page.html

3. Test your Environment with Real-Time Edge Detection in a Jupyter Notebook.mp4

3. Test your Environment with Real-Time Edge Detection in a Jupyter Notebook.vtt

4. Udemy 101 Getting the Most From This Course.mp4

4. Udemy 101 Getting the Most From This Course.vtt

/10. Deep Learning and Tensorflow Part 1/

1. Intro to Deep Learning and Tensorflow.mp4

1. Intro to Deep Learning and Tensorflow.vtt

2. Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding..mp4

2. Building Deep Neural Networks with Keras, Normalization, and One-Hot Encoding..vtt

3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4

3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.vtt

4. ReLU Activation, and Preventing Overfitting with Dropout Regularlization.mp4

4. ReLU Activation, and Preventing Overfitting with Dropout Regularlization.vtt

5. [Activity] Improving our Classifier with Dropout Regularization.mp4

5. [Activity] Improving our Classifier with Dropout Regularization.vtt

/11. Deep Learning and Tensorflow Part 2/

1. Convolutional Neural Networks (CNN's).mp4

1. Convolutional Neural Networks (CNN's).vtt

2. Implementing CNN's in Keras.mp4

2. Implementing CNN's in Keras.vtt

3. [Activity] Classifying Images with a Simple CNN, Part 1.mp4

3. [Activity] Classifying Images with a Simple CNN, Part 1.vtt

4. [Activity] Classifying Images with a Simple CNN, Part 2.mp4

4. [Activity] Classifying Images with a Simple CNN, Part 2.vtt

5. Max Pooling.mp4

5. Max Pooling.vtt

6. [Activity] Improving our CNN's Topology and with Max Pooling.mp4

6. [Activity] Improving our CNN's Topology and with Max Pooling.vtt

7. [Activity] Build a CNN to Classify Traffic Signs.mp4

7. [Activity] Build a CNN to Classify Traffic Signs.vtt

8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4

8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.vtt

/12. Wrapping Up/

1. Bonus Lecture Keep Learning with Sundog Education.mp4

1. Bonus Lecture Keep Learning with Sundog Education.vtt

/2. Introduction to Self-Driving Cars/

1. A Brief History of Autonomous Vehicles.mp4

1. A Brief History of Autonomous Vehicles.vtt

2. Course Overview and Learning Outcomes.mp4

2. Course Overview and Learning Outcomes.vtt

/3. Python Crash Course [Optional]/

1. Python Basics Whitespace, Imports, and Lists.mp4

1. Python Basics Whitespace, Imports, and Lists.vtt

2. Python Basics Tuples and Dictionaries.mp4

2. Python Basics Tuples and Dictionaries.vtt

3. Python Basics Functions and Boolean Operations.mp4

3. Python Basics Functions and Boolean Operations.vtt

4. Python Basics Looping and an Exercise.mp4

4. Python Basics Looping and an Exercise.vtt

5. Introduction to Pandas.mp4

5. Introduction to Pandas.vtt

6. Introduction to MatPlotLib.mp4

6. Introduction to MatPlotLib.vtt

7. Introduction to Seaborn.mp4

7. Introduction to Seaborn.vtt

/4. Computer Vision Basics Part 1/

1. What is computer vision and why is it important.mp4

1. What is computer vision and why is it important.vtt

10. Convolutions - Sharpening and Blurring.mp4

10. Convolutions - Sharpening and Blurring.vtt

11. [Activity] Convolutions - Sharpening and Blurring.mp4

11. [Activity] Convolutions - Sharpening and Blurring.vtt

12. Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4

12. Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).vtt

13. [Activity] Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4

13. [Activity] Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).vtt

14. [Activity] Project #1 Canny Sobel and Laplace Edge Detection using Webcam.mp4

14. [Activity] Project #1 Canny Sobel and Laplace Edge Detection using Webcam.vtt

2. Humans vs. Computers Vision system.mp4

2. Humans vs. Computers Vision system.vtt

3. what is an image and how is it digitally stored.mp4

3. what is an image and how is it digitally stored.vtt

4. [Activity] View colored image and convert RGB to Gray.mp4

4. [Activity] View colored image and convert RGB to Gray.vtt

5. [Activity] Detect lane lines in gray scale image.mp4

5. [Activity] Detect lane lines in gray scale image.vtt

6. [Activity] Detect lane lines in colored image.mp4

6. [Activity] Detect lane lines in colored image.vtt

7. What are the challenges of color selection technique.mp4

7. What are the challenges of color selection technique.vtt

8. Color Spaces.mp4

8. Color Spaces.vtt

9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4

9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.vtt

/5. Computer Vision Basics Part 2/

1. Image Transformation - Rotations, Translation and Resizing.mp4

1. Image Transformation - Rotations, Translation and Resizing.vtt

10. [Activity] Hough transform – practical example in python.mp4

10. [Activity] Hough transform – practical example in python.vtt

11. Project Solution Hough transform to detect lane lines in an image.mp4

11. Project Solution Hough transform to detect lane lines in an image.vtt

2. [Activity] Code to perform rotation, translation and resizing.mp4

2. [Activity] Code to perform rotation, translation and resizing.vtt

3. Image Transformations – Perspective transform.mp4

3. Image Transformations – Perspective transform.vtt

4. [Activity] Perform non-affine image transformation on a traffic sign image.mp4

4. [Activity] Perform non-affine image transformation on a traffic sign image.vtt

5. Image cropping dilation and erosion.mp4

5. Image cropping dilation and erosion.vtt

6. [Activity] Code to perform Image cropping dilation and erosion.mp4

6. [Activity] Code to perform Image cropping dilation and erosion.vtt

7. Region of interest masking.mp4

7. Region of interest masking.vtt

8. [Activity] Code to define the region of interest.mp4

8. [Activity] Code to define the region of interest.vtt

9. Hough transform theory.mp4

9. Hough transform theory.vtt

/6. Computer Vision Basics Part 3/

1. Image Features and their importance for object detection.mp4

1. Image Features and their importance for object detection.vtt

10. [Activity] Code to obtain color histogram.mp4

10. [Activity] Code to obtain color histogram.vtt

11. Histogram of Oriented Gradients (HOG).mp4

11. Histogram of Oriented Gradients (HOG).vtt

12. [Activity] Code to perform HOG Feature extraction.mp4

12. [Activity] Code to perform HOG Feature extraction.vtt

13. Feature Extraction - SIFT, SURF, FAST and ORB.mp4

13. Feature Extraction - SIFT, SURF, FAST and ORB.vtt

14. [Activity] FASTORB Feature Extraction in OpenCV.mp4

14. [Activity] FASTORB Feature Extraction in OpenCV.vtt

2. [Activity] Find a truck in an image manually!.mp4

2. [Activity] Find a truck in an image manually!.vtt

3. Template Matching - Find a Truck.mp4

3. Template Matching - Find a Truck.vtt

4. [Activity] Project Solution Find a Truck Using Template Matching.mp4

4. [Activity] Project Solution Find a Truck Using Template Matching.vtt

5. Corner detection – Harris.mp4

5. Corner detection – Harris.vtt

6. [Activity] Code to perform corner detection.mp4

6. [Activity] Code to perform corner detection.vtt

7. Image Scaling – Pyramiding updown.mp4

7. Image Scaling – Pyramiding updown.vtt

8. [Activity] Code to perform Image pyramiding.mp4

8. [Activity] Code to perform Image pyramiding.vtt

9. Histogram of colors.mp4

9. Histogram of colors.vtt

/7. Machine Learning Part 1/

1. What is Machine Learning.mp4

1. What is Machine Learning.vtt

2. Evaluating Machine Learning Systems with Cross-Validation.mp4

2. Evaluating Machine Learning Systems with Cross-Validation.vtt

3. Linear Regression.mp4

3. Linear Regression.vtt

4. [Activity] Linear Regression in Action.mp4

4. [Activity] Linear Regression in Action.vtt

5. Logistic Regression.mp4

5. Logistic Regression.vtt

6. [Activity] Logistic Regression In Action.mp4

6. [Activity] Logistic Regression In Action.vtt

7. Decision Trees and Random Forests.mp4

7. Decision Trees and Random Forests.vtt

8. [Activity] Decision Trees In Action.mp4

8. [Activity] Decision Trees In Action.vtt

/8. Machine Learning Part 2/

1. Bayes Theorem and Naive Bayes.mp4

1. Bayes Theorem and Naive Bayes.vtt

2. [Activity] Naive Bayes in Action.mp4

2. [Activity] Naive Bayes in Action.vtt

3. Support Vector Machines (SVM) and Support Vector Classifiers (SVC).mp4

3. Support Vector Machines (SVM) and Support Vector Classifiers (SVC).vtt

4. [Activity] Support Vector Classifiers in Action.mp4

4. [Activity] Support Vector Classifiers in Action.vtt

5. Project Solution Detecting Cars Using SVM - Part #1.mp4

5. Project Solution Detecting Cars Using SVM - Part #1.vtt

6. [Activity] Detecting Cars Using SVM - Part #2.mp4

6. [Activity] Detecting Cars Using SVM - Part #2.vtt

7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4

7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.vtt

/9. Artificial Neural Networks/

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

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

10. Example 1 - Build Multi-layer perceptron for binary classification.mp4

10. Example 1 - Build Multi-layer perceptron for binary classification.vtt

11. Example 2 - Build Multi-layer perceptron for binary classification.mp4

11. Example 2 - Build Multi-layer perceptron for binary classification.vtt

2. Single Neuron Perceptron Model.mp4

2. Single Neuron Perceptron Model.vtt

3. Activation Functions.mp4

3. Activation Functions.vtt

4. ANN Training and dataset split.mp4

4. ANN Training and dataset split.vtt

5. Practical Example - Vehicle Speed Determination.mp4

5. Practical Example - Vehicle Speed Determination.vtt

6. Code to build a perceptron for binary classification.mp4

6. Code to build a perceptron for binary classification.vtt

7. Backpropagation Training.mp4

7. Backpropagation Training.vtt

8. Code to Train a perceptron for binary classification.mp4

8. Code to Train a perceptron for binary classification.vtt

9. Two and Multi-layer Perceptron ANN.mp4

9. Two and Multi-layer Perceptron ANN.vtt

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