Using Gap Framework for Preparing Images for Computer Vision w/ Andrew Ferlitsch

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This will be a hands on Python and computer vision machine learning so bring a laptop. We will be using the Fruits360 dataset from Kaggle to demonstrate how to prepare images for a variety of computer vision methods. The Gap framework uses a OOP style interface which should be familiar to application developers. Andy will cover how to use the framework to preprocess images, store/retrieve, regularization and mini-batch generation.