UDEMY 2021 - The Complete Self-Driving Car Course – Applied Deep Learning
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Learn to use Deep Learning, Computer Vision and Machine Learning techniques to Build an Autonomous Car with Python
What you’ll learn
Understand, build and train Convolutional Neural Networks with Keras
Simulate a fully functional Self-Driving Car with Convolutional Neural Networks and Computer Vision
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:
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:
Created by Rayan Slim, Amer Sharaf, Jad Slim, Sarmad TanveerLast updated 12/2018EnglishEnglish [Auto-generated]
Size: 9.22 GB