This project showcases the implementation of CNNs for image classification using the Keras library. It demonstrates how to build and train a CNN model for various datasets, such as CIFAR-10, MNIST, and custom image datasets. The repository includes code for data augmentation, model optimization, and evaluation metrics to assess the model’s performance.
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