Description
Autonomous Cars: Deep Learning and Computer Vision in Python is the name of a training course on OpenCV, Keras, path and object detection, and traffic sign classification for self-driving cars. The automotive industry is experiencing a new paradigm shift: from conventional cars driven by humans to self-driving cars enhanced with artificial intelligence. Self-driving cars are a safe, efficient and affordable solution that will redefine human transportation. It is predicted that self-driving cars will save the lives of half a million people by 2035, and on the other hand, they will create great economic opportunities of up to 1 trillion dollars. The purpose of this course is to provide knowledge that is one of the key aspects for the design and development of self-driving cars.
What you will learn in the Autonomous Cars: Deep Learning and Computer Vision in Python course:
- Automatic detection of road signs in the image
- Detection of vehicles and pedestrians using a trained classifier and SVM
- Classification of traffic signs using convolutional neural networks
- Recognize other cars in the image using pattern matching
- Building deep neural networks using Tensorflow and Keras
- Data analysis and visualization using Numpy, Pandas, Matplotlib, and Seaborn
- Image processing using OpenCV
- Camera calibration in Python to correct aberrations
- Sharpen and blur images using convolution
- Edge detection in images using Sobel, Laplace, and Canny
- Transform images by moving, rotating, resizing and changing perspective
- Image extraction using HOG
- Image classification using artificial neural networks and deep learning
- Data classification using machine learning techniques including regression, decision tree, Naive Bayes and SVM
Course details:
Publisher: Udemy
Instructors: Sundog Education by Frank Kane, Frank Kane, Ryan Ahmed, Mitchell Bouchard
English language
Training level: introductory to advanced
Number of courses: 93
Duration: 12 hours and 45 minutes
Course topics:
Course prerequisites:
Windows, Mac, or Linux PC with at least 3GB of free disk space.
Some prior experience in programming.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720
download link
Password file(s): www.downloadly.ir
Size
7.1 GB
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