GitHub / SreecharanV / Improving-CIFAR-10-Image-Classification-with-Diverse-Architectures-Using-Ensemble-Learning

This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.

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Topics: cifar10-classification, cnn-classification, computervision, ensemble-learning, ensemble-machine-learning, ensemble-model, imageclassification, machine-learning, machine-learning-algorithms, python, rnn-model, transfer-learning, vgg16, vgg16-model

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