Autonomous Cars: Deep Learning and Computer Vision in Python

Online Course

Udemy

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Prerequisites & Facts
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What is the course about?

Autonomous Cars: Deep Learning and Computer Vision in Python

The course Autonomous Cars: Deep Learning and Computer Vision in Python is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn OpenCV, Keras, object and lane detection, and traffic sign classification for self-driving cars

Course description

Autonomous Cars: Deep Learning and Computer Vision in Python

Automatically detect lane markings in images
Detect cars and pedestrians using a trained classifier and with SVM
Classify traffic signs using Convolutional Neural Networks
Identify other vehicles in images using template matching
Build deep neural networks with Tensorflow and Keras

Windows, Mac, or Linux PC with at least 3GB free disk space.
Some prior experience in programming.

13 hours on-demand video
2 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion
Sundog Education by Frank Kane

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Prerequisites & Facts

Autonomous Cars: Deep Learning and Computer Vision in Python

Course Topic

Computer Vision, Development, Software Engineering

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Autonomous Cars: Deep Learning and Computer Vision in Python

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udemy

Autonomous Cars: Deep Learning and Computer Vision in Python

provided by Udemy

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