Rayan Slim
Self–driving cars have rapidly become one of the most transformative technologies to emerge. Fuelled by Deep Learning algorithms, they are continuously driving our society forward and creating new opportunities in the mobility sector.
Deep Learning jobs command some of the highest salaries in the development world. This is the first, and only course which makes practical use of Deep Learning, and applies it to building a self–driving car, one of the most disruptive technologies in the world today.
Learn & Master Deep Learning in this fun and exciting course with top instructor Rayan Slim. With over 28000 students, Rayan is a highly rated and experienced instructor who has followed a learn by doing style to create this amazing course.
You’ll go from beginner to Deep Learning expert and your instructor will complete each task with you step by step on screen.
By the end of the course, you will have built a fully functional self–driving car fuelled entirely by Deep Learning. This powerful simulation will impress even the most senior developers and ensure you have hands on skills in neural networks that you can bring to any project or company.
This course will show you how to:
Use Computer Vision techniques via OpenCV to identify lane lines for a self–driving car.
Instructor Details
Courses : 2
Specification: The Complete Self-Driving Car Course – Applied Deep Learning
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23 reviews for The Complete Self-Driving Car Course – Applied Deep Learning
Add a review
| Price | $19.99 |
|---|---|
| Provider | |
| Duration | 18 hours |
| Year | 2021 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$19.99
Tiago Magalh es –
At o momento o material esta bem did tico e explicativo. Muito bom.
Thomas Braulik –
sehr gut
Akki Dattatreya –
I expected to detect both lanes and traffic signs at the same time, but it’s not the case. Overall course is good
Wolfgang Brammertz –
Sehr gute EInf hrung in DeepLearning und Grundlagen. Gro e Probleme mit der Installation der Packages unter Python, da Versionen verschieden sind. Liegt aber nicht am Kurs. Besten Dank
D F –
Doesn’t work, code has errors and instructor doesn’t answer questions
Igor Gotsulyak –
Totally worth it!
Carlos Enrique Acosta Montalvo –
es una buena elecci n
Gampa Venkata Prakash –
mutability 2 video is not able to watch ,it is showing that adobe flash has blocked, can you please suggest me what to do whereas remaining videos are playing
krish J –
Great Course….
Methee Phoboonme –
Well suited for people who know Python to get introduction to CNN/keras. Well structured and very rewarding exercise.
Ravi Yerraguntla –
Definitely worth taking this class and Ryan explained in detailed some of the needed Deep learning concepts required for Self driving car as a starter. Hope Ryan will cover real car scenario’s rather than in a simulator example like reading traffic signs, maneuvering etc in real time in future courses
Maximilian S ker –
very pleasant voice and understandable
Ali Haddadpour –
Sometimes a lot of stuff is covered in single section, without enough practice!
Cole Welcher –
It is great until you have version problems. Due to python updating before tenorflow, numpy and keras. Often causing annoying and tedious yet easy issues.
Md Abdur Rahman –
THE BEST COURSE I HAVE EVER COME ACROSSSSSSSS
Monica Iyer –
good explanation
Pedro Castelo Branco Louren o –
Very nice, intuitive and practical!
Mayur Shete –
need more examples on python course
Adrian Milla Espa ol –
The classes are good, it’s easy to understand. But this course lacks of exercises. It would be much better having to code some parts of it by yourself.
Naseem Akhtar –
can’t hear anything
Maxim Senin –
The instructor is very well versed in the subject and well spoken. Following was easy. It’s like having 4 courses in one a python intro, an intro into machine learning and deep learning followed by writing a working code for teaching a car to drive. In the example we just controlled two parameters, throttle and steering angle, but the same approach can be extrapolated to other types of telemetry and actuators. I wish the course had at least basic ideas on obstacle avoidance, but I suspect it’s mostly about computer vision classifying objects in the image and marking which classes of object can be driven through or need to be avoided (breaking or driving around). Or perhaps the current algorithm can be used just the same the model will be trained to avoid obstacles (features in the convolutional neural network) from the human driver just like it learned to avoid edges of the track. Anyway, great course! 20 hours well spent!
Jonas Pettersen –
This was a werry good course and I would recomand it. but i had hoped that there was more about how to implement sign identification and speed controling according to the givven speed limits and it would have been nice having more intelegent line identification to the end result.
N.G.Elakiya –
good