Discover to utilize Deep Learning, Computer Vision and Machine Learning methods to Build an Autonomous Car with Python in this The Complete Self-Driving Car Course – Applied Deep Learning course.
What you’ll discover
- Find out to use Computer Vision and Deep Learning techniques to construct automotive-related algorithms
- Understand, develop and train Convolutional Neural Networks with Keras
- Mimic a fully practical Self-Driving Car with Convolutional Neural Networks and Computer Vision
- Train a Deep Learning Model that can recognize between 43 various Traffic Signs
- Learn to utilize essential Computer Vision techniques to recognize lane lines on a road
- Find out to construct and train effective Neural Networks with Keras
- Understand Neural Networks at the most fundamental perceptron-based level
- A working computer system
- No experience needed!
Self-driving automobiles, have quickly turned into one of the most transformative technologies to emerge. Sustained by Deep Learning algorithms, they are continuously driving our society forward, and developing brand-new chances in the mobility sector.
Deep Learning jobs command some of the greatest incomes in the development world. This is the first, and only course which makes practical usage of Deep Learning, and uses it to building a self-driving car, among the most disruptive innovations worldwide today.
Learn & Master Deep Learning in this fun and amazing course with top instructor Rayan Slim. With over 28000 trainees, Rayan is a highly ranked and experienced trainer who has actually followed a “find out by doing” design to create this remarkable course.
You’ll go from novice to Deep Learning expert and your trainer will complete each task with you step by step on screen.
By the end of the The Complete Self-Driving Car Course – Applied Deep Learning course, you will have built a completely functional self-driving automobile sustained totally by Deep Learning. This powerful simulation will impress even the most senior developers and ensure you have hands on abilities in neural networks that you can bring to any task or company.
This course will reveal you how to:
Use Computer Vision methods by means of OpenCV to determine lane lines for a self-driving automobile.
Discover to train a Perceptron-based Neural Network to categorize between binary classes.
Find out to train Convolutional Neural Networks to identify between different traffic indications.
Train Deep Neural Networks to fit intricate datasets.
Master Keras, a power Neural Network library written in Python.
Develop and train a completely practical self driving automobile to drive by itself!
No experience needed. This The Complete Self-Driving Car Course – Applied Deep Learning course is designed to take trainees with no programming/mathematics experience to accomplished Deep Learning developers.
This course likewise comes with all the source code and friendly support in the Q&An area.
Who this course is for:
- Anyone with an interest in Deep Learning and Self Driving Cars
- Anyone (no matter the skill level) who desires to shift into the field of Artificial Intelligence
- Business owners with an interest in working on some of the most cutting edge innovations
- All ability levels are welcome!
Created by Rayan Slim, Amer Sharaf, Jad Slim, Sarmad Tanveer
Last updated 12/2018
Size: 9.22 GB