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| The Complete Self-Driving Car Course - Applied Deep Learning |
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
- Entrepreneurs with an interest in working on some of the most cutting edge technologies
- All skill levels are welcome!
- Get the course
