Description
Autonomous Cars: Deep learning and computer vision in Python, name of a training course, OpenCV, Keras, diagnosis, tracking and objects, and traffic sign classification, driving for the autonomous car industry. The automotive industry, that of thrusters, is experiencing a paradigm shift, a new industry: the automobile, the commons by which humans were driven to the autonomous car that artificial intelligence have been reinforced. The autonomous car is a safe, efficient and affordable solution, which redefines human transport to change, they will. The forecast is Self-driving car by the year 2035 is half a million people to retain on the other hand, economic opportunities, a large, up to 1 trillion dollars to tax. The objective of this course provides the knowledge that one of the means is the key to the design and development of the autonomous machine industry.
What is in the Self-Driving Cars Course: Deep Learning and Computer Vision in Python you will learn:
- Auto-detect mark the path in the image
- Diagnostics of cars and passers-by with the use of class a drive data and SVM
- Classification of traffic signs, driving with the use of Convolutional Neural Networks
- Detect other vehicles in the image using the compliance model
- Build neural networks with the use of Tensorflow and Keras
- Data analysis and illustration using Numpy, Pandas, Matplotlib and Seaborn
- Image processing with OpenCV
- Camera calibrated in Python, to correct deviations
- Sharpen and blur images using convolution
- Edge detection in images using Sobel, Laplace and Canny
- Change the shape of images by means of transfer, rotation, etc. change the size and change the shape of the perspective
- Extract images with HOG
- Image classification using dummy neural networks and deep learning
- Classification of data using machine learning techniques includes regression, etc. decision trees, etc. Naive Bayes and SVM
Specification volume:
Publisher: Udemy
Teachers: Sundog Education by Frank Kane, Frank Kane, ryan ahmedMitchell H.
French language
Level of training: basic to advanced
Number of lessons: 93
Duration: 12 hours and 45 minutes
Course content :
Prerequisite course:
Windows, Mac or Linux PC with at least 3 GB of free disk space.
A first experience in programming.
Pictures
sample movie
Installation guide
After the extract, watch it with the reader you like.
Subtitles: English
Quality: 720
Download link
Password file(s): ngaur.com
File size
7.1 GB