The Complete Self-Driving Car Course - Applied Deep Learning [Video]

More Information
Learn
  • Apply Computer Vision and deep learning techniques to build automotive-related algorithms
  • Understand, build, and train convolutional neural networks with Keras.
  • Simulate a fully functional self-driving car with convolutional neural networks and Computer Vision
  • Train a deep learning model that can identify up to 43 different traffic signs
  • Use essential Computer Vision techniques to identify lane lines on a road
  • Build and train powerful neural networks with Keras
  • Understand neural networks at the most fundamental, perceptron-based level
About

Self-driving cars have emerged to be one of the most transformative technologies. Fueled by deep learning algorithms, they are rapidly developing 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 one of the only courses that make practical use of deep learning and applies it to building a self-driving car. You’ll learn and master deep learning in this fun and exciting course with top instructor Rayan Slim. Having trained thousands of students, Rayan is a highly rated and experienced instructor who follows a learning-by-doing approach. By the end of the course, you will have built a fully functional self-driving car powered 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 do the following:

- Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car

- Train a perceptron-based neural network to classify between binary classes

- Train convolutional neural networks to identify 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

All the code and supporting files for this course are available at https://github.com/PacktPublishing/The-Complete-Self-Driving-Car-Course---Applied-Deep-Learning

Features
  • The transition from a beginner to deep learning expert
  • Learn through demonstrations as your instructor completes each task with you
  • No experience required
Course Length 17 hours 40 minutes
ISBN 9781838829414
Date Of Publication 4 Apr 2019

Authors

Amer Abdulkader

Amer is a full-time developer with a specialized interest in Artificial intelligence (AI). AI is now taking on more sophisticated roles that can truly amplify human capabilities. With a background in Mechanical Engineering and computer science, he has always looked for ways to use the power of AI to create practical solutions that revolutionize the way we live. He aims to make artificial intelligence more accessible to all students, no matter the skill level!

10509213 Canada Inc.

10509213 Canada Inc. is owned by Rayan Slim and Jad Slim. They would like to receive the royalties in their joint business account and they would share the royalty amount amongst themselves.