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Install and run the major computer vision packages within Python, Apply powerful support vector machines for simple digit classification, Work with human faces and perform identification and orientation estimation, Know how to read text from real-world images, See how to extract human pose data from images, Downloading and Installing Python 3/Anaconda, Acquiring and Processing MNIST Digit Data, Creating and Training a Support Vector Machine, Applying the Support Vector Machine to New Data, Introducing TensorFlow with Digit Classification, Example One – Finding 68 Facial Landmarks in Images, Using a Pre-Trained Model (Inception) for Image Classification, Pose Estimation with DeeperCut and ArtTrack, AWS Certified Solutions Architect - Associate. Java Projects for Beginners; How to Hack Wifi; Spring Tutorial; Udemy Free Courses; Home . 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