Intro to Keras (See next article for installation fix)
Stop Using Jupyter - Use Colab instead
How to Import Keras
Fix for next video (update)
Keras - Predictions
Part 7 - Outro
Fix for next video (update)
Section 8 - Conclusion
Section 9 - Outro
Train & Test
Implementation Part 1
Fix for upcoming video
Implementation Part 2
Resource for upcoming video
Implementation Part 3
Final Source Code
Section 10 - Outro
A working computer
No experience required!
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.
Learn to train a Perceptron-based Neural Network to classify between binary classes.
Learn to train Convolutional Neural Networks to identify between various traffic signs.
Train Deep Neural Networks to fit complex datasets.
Master Keras, a power Neural Network library written in Python.
Build and train a fully functional self driving car to drive on its own!
No experience required. This course is designed to take students with no programming/mathematics experience to accomplished Deep Learning developers.
This course also comes with all the source code and friendly support in the Q&A area.
Who this course is for:
Anyone with an interest in Deep Learning and Self Driving Cars
Anyone (no matter the skill level) who wants to transition into the field of Artificial Intelligence
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All skill levels are welcome!
Rating: 5.0 out of 5a year ago
This course was an excellent introduction to deep learning for self-driving cars. I loved the explanations and especially the last project was pretty neat. I will certainly look to the instructor's other courses as well. Thank you!
Hi! I'm Rayan, a full time software developer based in Ottawa, Canada.
I first ventured into development when working on a start-up. Since then, I've built countless web and mobile applications as a freelance developer, meanwhile expanding my repertoire and exploring new avenues in Deep Learning & Data Analytics.
Jad studied mechanical engineering at the University of Ottawa. Jad also has experience in software development, machine learning, computer vision, mathematical modeling, computer simulation, and intelligent systems. He has also developed many deep learning applications, and is currently pursuing an interest in autonomous machines and Full Stack Development.