Description
Autonomous Cars: Deep Learning and Computer Vision in Python, name of a training course, OpenCV, Keras, diagnose, track, and objects, and classification of traffic signs, driving for Autonomous car industry. The automotive industry, the propellant are experiencing a paradigm shift, a new industry: the automobile, the common by which humans driven were to Autonomous car that artificial intelligence have been reinforced. Autonomous Car a solution is safe, efficient and affordable, which are re-defined transport humans to change, they will. The forecast is Autonomous car by the year 2035 is a half million people to retain the other hand, economic opportunities, a large, up to 1 trillion dollars to impose. The aim of this course supplies the knowledge that one of the way is the key to design and develop Autonomous machines industry.
What in the Couse of Autonomous Cars: Deep Learning and Computer Vision in Python you’ll learn:
- Automatic detection mark the path in the picture
- Diagnostics cars and passers-by with the use of Category a training data and SVM
- Classification of traffic signs, driving with the use of neural networks Convolutional
- Detect other vehicles in the image with the use of compliance template
- Build neural networks with the use of Tensorflow and Keras
- Analysis and illustration of data using Numpy, Pandas, Matplotlib, and Seaborn
- Image processing using OpenCV
- Calibrated camera in Python, to correct deviations
- Sharpen and blur images using convolution
- Edge detection in images using Sobel, Laplace, and Canny
- Change the shape of the images by means of the transfer, rotate, etc. change the size and change the shape of perspective
- Extract images using HOG
- Classification of images using neural networks dummy and deep learning
- The classification of data by using techniques of machine learning include regression, etc. decision trees, etc. Naive Bayes and SVM
Specifications volume :
- Publisher : Udemy
- Teacher : Sundog Education by Frank Kane , Frank Kane , Prof. Ryan Ahmed | 450K+ Students | Best-Selling Professor | 250K+ YouTube , Mitchell Bouchard , Sundog Education Team
- Language: English
- Level : All Levels
- Lectures : 94
- Duration : 12 hours and 28 minutes
Course contents:
Prerequisite course:
Images
Sample movie
Installation guide
After the Extract, watch it with the Player you like.
Subtitles: English
Quality: 720
The 2025/4 version has increased the number of lessons by 1 and the duration decreased by 18 minutes compared to 2018/12.
The 2025/9 version the duration has increased by 1 minutes compared to 2025/4.
Download link
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
4.75 GB
2 Comments. Leave new
Hi, please, it’s possible to update this course? Thanks you very much.
Hi
Updated