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