| 9. Artificial Neural Networks/10. Example 1 - Build Multi-layer perceptron for binary classification.mp4 | 384.19 MB |
| 8. Machine Learning Part 2/6. [Activity] Detecting Cars Using SVM - Part #2.mp4 | 204.08 MB |
| 11. Deep Learning and Tensorflow Part 2/8. [Activity] Build a CNN to Classify Traffic Siigns - part 2.mp4 | 175.33 MB |
| 6. Computer Vision Basics Part 3/11. Histogram of Oriented Gradients (HOG).mp4 | 169.49 MB |
| 4. Computer Vision Basics Part 1/9. [Activity] Convert RGB to HSV color spaces and mergesplit channels.mp4 | 166.92 MB |
| 9. Artificial Neural Networks/4. ANN Training and dataset split.mp4 | 151.3 MB |
| 11. Deep Learning and Tensorflow Part 2/7. [Activity] Build a CNN to Classify Traffic Signs.mp4 | 150.58 MB |
| 3. Python Crash Course [Optional]/7. Introduction to Seaborn.mp4 | 146.72 MB |
| 2. Introduction to Self-Driving Cars/1. A Brief History of Autonomous Vehicles.mp4 | 145.92 MB |
| 5. Computer Vision Basics Part 2/9. Hough transform theory.mp4 | 141.5 MB |
| 4. Computer Vision Basics Part 1/2. Humans vs. Computers Vision system.mp4 | 135.32 MB |
| 10. Deep Learning and Tensorflow Part 1/3. [Activity] Building a Logistic Classifier with Deep Learning and Keras.mp4 | 134.56 MB |
| 9. Artificial Neural Networks/1. Introduction What are Artificial Neural Networks and how do they learn.mp4 | 127.77 MB |
| 8. Machine Learning Part 2/5. Project Solution Detecting Cars Using SVM - Part #1.mp4 | 119.72 MB |
| 9. Artificial Neural Networks/2. Single Neuron Perceptron Model.mp4 | 119.67 MB |
| 4. Computer Vision Basics Part 1/1. What is computer vision and why is it important.mp4 | 118.76 MB |
| 5. Computer Vision Basics Part 2/11. Project Solution Hough transform to detect lane lines in an image.mp4 | 117.05 MB |
| 8. Machine Learning Part 2/7. [Activity] Project Solution Detecting Cars Using SVM - Part #3.mp4 | 116.83 MB |
| 4. Computer Vision Basics Part 1/8. Color Spaces.mp4 | 113.66 MB |
| 9. Artificial Neural Networks/6. Code to build a perceptron for binary classification.mp4 | 111.6 MB |
| 9. Artificial Neural Networks/8. Code to Train a perceptron for binary classification.mp4 | 110.23 MB |
| 7. Machine Learning Part 1/8. [Activity] Decision Trees In Action.mp4 | 103.65 MB |
| 9. Artificial Neural Networks/11. Example 2 - Build Multi-layer perceptron for binary classification.mp4 | 102.28 MB |
| 11. Deep Learning and Tensorflow Part 2/6. [Activity] Improving our CNN's Topology and with Max Pooling.mp4 | 102.24 MB |
| 5. Computer Vision Basics Part 2/2. [Activity] Code to perform rotation, translation and resizing.mp4 | 102.05 MB |
| 4. Computer Vision Basics Part 1/12. Edge Detection and Gradient Calculations (Sobel, Laplace and Canny).mp4 | 98.76 MB |
| 4. Computer Vision Basics Part 1/3. what is an image and how is it digitally stored.mp4 | 98.55 MB |
| 7. Machine Learning Part 1/1. What is Machine Learning.mp4 | 96.3 MB |
| 7. Machine Learning Part 1/6. [Activity] Logistic Regression In Action.mp4 | 93.02 MB |
| 6. Computer Vision Basics Part 3/3. Template Matching - Find a Truck.mp4 | 90.26 MB |
| 5. Computer Vision Basics Part 2/5. Image cropping dilation and erosion.mp4 | 87.77 MB |
| 4. Computer Vision Basics Part 1/4. [Activity] View colored image and convert RGB to Gray.mp4 | 86.13 MB |
| 3. Python Crash Course [Optional]/5. Introduction to Pandas.mp4 | 85.99 MB |
| 3. Python Crash Course [Optional]/6. Introduction to MatPlotLib.mp4 | 85.11 MB |
| 9. Artificial Neural Networks/7. Backpropagation Training.mp4 | 84.25 MB |
| 4. Computer Vision Basics Part 1/10. Convolutions - Sharpening and Blurring.mp4 | 84.09 MB |
| 11. Deep Learning and Tensorflow Part 2/3. [Activity] Classifying Images with a Simple CNN, Part 1.mp4 | 83.58 MB |
| 5. Computer Vision Basics Part 2/8. [Activity] Code to define the region of interest.mp4 | 80.31 MB |
| 6. Computer Vision Basics Part 3/1. Image Features and their importance for object detection.mp4 | 79 MB |
| 8. Machine Learning Part 2/2. [Activity] Naive Bayes in Action.mp4 | 78.78 MB |
| 5. Computer Vision Basics Part 2/6. [Activity] Code to perform Image cropping dilation and erosion.mp4 | 76.93 MB |
| 6. Computer Vision Basics Part 3/5. Corner detection – Harris.mp4 | 76.91 MB |
| 8. Machine Learning Part 2/1. Bayes Theorem and Naive Bayes.mp4 | 76.03 MB |
| 5. Computer Vision Basics Part 2/10. [Activity] Hough transform – practical example in python.mp4 | 75.83 MB |
| 5. Computer Vision Basics Part 2/1. Image Transformation - Rotations, Translation and Resizing.mp4 | 75.5 MB |
| 1. Environment Setup and Installation/1. Introduction.mp4 | 74.83 MB |
| 10. Deep Learning and Tensorflow Part 1/1. Intro to Deep Learning and Tensorflow.mp4 | 74.52 MB |
| 8. Machine Learning Part 2/4. [Activity] Support Vector Classifiers in Action.mp4 | 74.35 MB |
| 9. Artificial Neural Networks/9. Two and Multi-layer Perceptron ANN.mp4 | 71.05 MB |
| 11. Deep Learning and Tensorflow Part 2/1. Convolutional Neural Networks (CNN's).mp4 | 70.9 MB |