Autonomous Cars: Deep Learning and Computer Vision in Python

Autonomous Cars: Deep Learning and Computer Vision in Python

In this course, you will learn how to automatically detect lane markings in images, detect cars and pedestrians using a trained classifier and SVM, detect object corners with Harris, classify data with machine learning techniques including regression, decision trees, Naive Bayes, and SVM, and classify data with artificial neural networks, deep learning, and much more.

๐Ÿ’ฒ Paid to Audit
๐Ÿ•’ Approx. 12.5 Hours
โœ๏ธ Beginner Level
๐Ÿงพ Certificate Available Upon Completion
๐ŸŽ“ Offered by Sundog Edu on Udemy

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