This project implements an image classification model using Convolutional Neural Networks (CNN) to classify images from the CIFAR-10 dataset. The CIFAR-10 dataset contains 60,000 32x32 color images in 10 different classes, with 6,000 images per class. The classes include airplanes, automobiles, birds, cats, deer, dogs, frogs, horses, and trucks.
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Updated
Oct 11, 2024 - Jupyter Notebook