Preparing CIFAR Image Data for PyTorch

added by DotNetKicks
4/1/2022 5:02:33 PM

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CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research explains how to get the raw source CIFAR-10 data, convert it from binary to text and save it as a text file that can be used to train a PyTorch neural network classifier.


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