Autonomous Cars: Deep Learning and Computer Vision in Python free download

Autonomous Cars: Deep Learning and Computer Vision in Python in Python . Automatically detect lane markings in images . Detect cars and pedestrians using a trained classifier and with SVM . Classify traffic signs using Convolutional Neural Networks . Identify other vehicles in images using template matching . Build deep neural networks with Tensorflow and Keras . Calibrate cameras in Python, correcting for distortion with HOG . Sharpen and blur images with convolution Sharpen, blur images using convolution . Detect edges in images with Sobel, Laplace, and Canny . Transform images through translation, rotation, resizing, and perspective transform .API quota exceeded. You can make 500 requests per day.

Who this course is for:

  • Software engineers interested in learning the algorithms that power self-driving cars.
File Name :Autonomous Cars: Deep Learning and Computer Vision in Python free download
Content Source:udemy
Genre / Category:Development
File Size :6.13 gb
Publisher :Sundog Education by Frank Kane
Updated and Published:08 Aug,2022

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File name: Autonomous-Cars-Deep-Learning-and-Computer-Vision-in-Python.rar
File Size:6.13 gb
Course duration:10 hours
Instructor Name:Sundog Education by Frank Kane , Frank Kane , Dr. Ryan Ahmed, Ph.D., MBA , Mitchell Bouchard , Sundog Education Team
Language:English
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