This project demonstrates image classification using the CIFAR-10 dataset and a Convolutional Neural Network (CNN) built with TensorFlow and Keras. The CIFAR-10 dataset consists of 60,000 32x32 color images in 10 different classes, with 6,000 images per class.
active 2025-01-31 → 2025-01-31 (UTC)
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