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Day 27 - Image Classification with a small CNN on CIFAR-10 dataset
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The task for Day 27 was to build a Convolutional Neural Network (CNN) for image classification on the CIFAR-10 dataset. The CIFAR-10 dataset consists of 60,000 32x32 color images in 10 different classes, such as airplanes, cars, birds, and cats. The goal was to create a small CNN to classify these images into the correct categories and evaluate its performance.
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Day 27 - Image Classification with a small CNN on CIFAR-10 dataset
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