April 2019
Intermediate
17h 49m
English
on-demand course
The Complete Self-Driving Car Course - Applied Deep Learning
with Rayan Slim, Jad Slim, Amer Abdulkader, Sarmad Tanveer
Closed Captioning available in English
Overview
In this 18 hr course, you will apply cutting-edge deep learning and computer vision techniques to develop a fully functional simulation of an autonomous car, using Python as the programming language. Designed for beginners and enthusiasts, this course progressively builds your expertise in building artificial intelligence systems from scratch.
What I will be able to do after this course
- Understand and apply the fundamentals of neural networks and train perceptron-based models to classify binary data.
- Master computer vision libraries, such as OpenCV, to process image data and detect important features like lane lines.
- Utilize convolutional neural networks to classify road signs and implement functionality for self-driving vehicles.
- Simulate the behavior of autonomous cars using formatted data pipelines and constructed networks.
- Gain proficiency in Keras to develop and train deep learning models for various applications.
Course Instructor(s)
Your instructors are experienced in teaching state-of-the-art techniques in the field of deep learning and computer vision. Rayan and Jad Slim are passionate about making complex topics accessible, guiding students through practical and engaging projects. Amer Abdulkader and Sarmad Tanveer bring extensive experience in applied AI systems, providing you with expert knowledge to thrive in this dynamic field.
Who is it for?
This course is ideal for individuals exploring deep learning and artificial intelligence, especially in the context of self-driving technology. Beginners with limited experience in programming or AI will find this course approachable and practical. Professionals and students looking to enter the machine learning and computer vision fields will benefit from the hands-on approach. Enthusiasts aiming to acquire essential skills for practical applications in AI will also appreciate the comprehensive coverage provided in this course.
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