The Complete Self-Driving Car Course - Applied Deep Learning
What you will learn
Learn to 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 between 43 different Traffic Signs
Learn to use essential Computer Vision techniques to identify lane lines on a road
Learn to build and train powerful Neural Networks with Keras
Understand Neural Networks at the most fundamental perceptron-based level
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Our Verdict
The Complete Self-Driving Car Course - Applied Deep Learning" on Udemy offers a comprehensive deep dive into the world of machine learning and deep learning, with a focus on building autonomous cars. Despite some shortcomings such as a lack of responsiveness in the Q&A section and outdated code, it remains a worthwhile investment for beginners looking to familiarize themselves with machine learning concepts. Students eager for hands-on experience with applied deep learning techniques will find this course particularly valuable. Keep in mind that some crucial elements—including nuances of automotive engineering and sensor fusion—aren't thoroughly covered, so you may need supplementary resources to achieve a complete understanding. Overall, the course serves as an excellent starting point for Python basics, machine learning and deep learning concepts, and writing a basic self-driving car code.
What We Liked
- Covers a wide range of topics from Python basics, machine learning and deep learning to writing a functioning self-driving car code
- Instructor is knowledgeable and well-versed in the subject matter
- Hands-on exercises provide valuable insights and help solidify understanding
- Excellent for beginners with little to no experience in machine learning and deep learning
Potential Drawbacks
- Lack of mathematical explanations for certain concepts like gradient descent
- Code can be outdated, leading to numerous debugging hours and frustration
- Unresponsive Q&A section leaves learners without support
- Some learners may find the course lacking in-depth explanation of self-driving car concepts