Udemy – Autonomous Cars: Deep Learning and Computer Vision in Python 2018-12

Published on: 2021-02-07 09:18:47

Categories: 28

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
Teachers: Sundog Education by Frank Kane, Frank Kane, Ryan Ahmed, Mitchell H
Language: English
Training level: basic to advanced
Number of courses: 93
Duration Time: 12 hours and 45 minutes