This is a project that utilizes Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset, which comprises 60,000 32x32 color images across 10 different classes, including airplanes, cars, birds, cats, deer, dogs, frogs, horses, ships, and trucks.
somenath203/CNN_With_CIFAR_10_Dataset
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