Sundog Education by Frank Kane
Autonomous Cars: Computer Vision and Deep Learning
The automotive industry is experiencing a paradigm shift from conventional, human–driven vehicles into self–driving, artificial intelligence–powered vehicles. Self–driving vehicles offer a safe, efficient, and cost effective solution that will dramatically redefine the future of human mobility. Self–driving cars are expected to save over half a million lives and generate enormous economic opportunities in excess of $1 trillion dollars by 2035. The automotive industry is on a billion–dollar quest to deploy the most technologically advanced vehicles on the road.
As the world advances towards a driverless future, the need for experienced engineers and researchers in this emerging new field has never been more crucial.
The purpose of this course is to provide students with knowledge of key aspects of design and development of self–driving vehicles. The course provides students with practical experience in various self–driving vehicles concepts such as machine learning and computer vision. Concepts such as lane detection, traffic sign classification, vehicle/object detection, artificial intelligence, and deep learning will be presented. The course is targeted towards students wanting to gain a fundamental understanding of self–driving vehicles control. Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to any student with basic programming knowledge. Students who enroll in this self–driving car course will master driverless car technologies that are going to reshape the future of transportation.
Instructor Details
Courses : 7
Specification: Autonomous Cars: Deep Learning and Computer Vision in Python
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13 reviews for Autonomous Cars: Deep Learning and Computer Vision in Python
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| Price | $14.99 |
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| Provider | |
| Duration | 13 hours |
| Year | 2022 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$14.99
Andres Martinez –
cool module, fun and informative….
Bryce Lin –
The course title is a bit misleading. It covers little about autonomous cars. This is a very basic/entry level machine learning and deep learning course.
David Carlson –
This course will expose you to many interesting technologies, such as openCV, and the instructors are excellent. You should have a good understanding of python when the slicing and dicing starts. As well as updating conda packages and coding tools. I take online courses at work and at home, I sometimes stop for a while then come back to it. This means that I have to switch gears in my head to remember the technologies, so I like a quick recap sort of like how t.v. series start with last time on . The instructors did take time to that. I have a current valid C.D.L. an have paid working experience as a truck driver and bus driver in my past. Understanding more of how self driving algorithms and technologies are going to work is surely and interesting topic, but as a driver it is a bit concerning.
Michael Craig –
The course information is solid and I’m coming away with a much better understanding of python, Neural Networks, Deep Learning, image recognition and the tools that are used for Autonomous cars. However, the course material may need some updates. There were a few instances where the Jupyter code samples didn’t run. I took the extra step to investigate most of the issues and correct it so that they would run properly in my code, but other viewers may not do this. Also, towards the end, I believe Section 10, one of the final activity videos was replaying previous course videos. It seems like there was an error in the video upload process. I commented in the section for correction.
Eric Muir –
Overall, a good summary overview of the material. The lectures are succinct and the alternating of lecture and activity keep the material interesting and moves the content along. Further references to a more theoretical review of the material would be a welcome addition. Also, the audio skips and seems to misalign with the slides at times. This was the worst during the feature detection (SIFT, SURF, etc.) lecture where the slides shown were on HOG. This could be associated with using the Udemy App on an iPad only…I did not verify.
Matheus Santiago –
You should have done also lectures for Linux environment. (e.g. Ubuntu)
Matheus Santiago –
You should have done also lectures for Linux environment. (e.g. Ubuntu)
Sudip –
Nice course design, CV and Deep Learning have been explained in depth but expected some examples with video/streaming data on CV.
Jairo Silva –
Est sendo exatamente o que eu esperava.
Roberto Lopez Boada –
Excellent!
Qiu –
good
Ajay Ladkat –
Good explanation with code and practical concepts .. !!
Thomas Weight –
Both of these instructors are very good at presenting the material. I especially appreciate the recaps at the ends of the lectures.