/CIFAR10-Dataset

CIFAR-10 Image Classification project focuses on using Convolutional Neural Networks (CNN) to classify 32x32 color images into ten distinct classes. The goal is to design and train an effective CNN model using the CIFAR-10 dataset, enabling accurate image classification across various categories.

Primary LanguageJupyter NotebookMIT LicenseMIT

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