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README.md
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Introducing `Enhanced-CIFAR10-CNN`, a state-of-the-art Convolutional Neural Network (CNN) trained on the CIFAR dataset. Based on extensive research, with an impressive accuracy of 89%, this model sets a new benchmark in image classification tasks. What sets it apart?
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- **High Performance**: Achieves an accuracy rate of
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- **Fast Inference**: Optimized for speed, this model ensures quick predictions without compromising on accuracy.
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Introducing `Enhanced-CIFAR10-CNN`, a state-of-the-art Convolutional Neural Network (CNN) trained on the CIFAR dataset. Based on extensive research, with an impressive accuracy of 89%, this model sets a new benchmark in image classification tasks. What sets it apart?
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- **High Performance**: Achieves an accuracy rate of 86%, surpassing standard benchmarks.
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- **Fast Inference**: Optimized for speed, this model ensures quick predictions without compromising on accuracy.
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