This Project Uses CIFAR-10 (the Canadian Institute for Advanced Research) Dataset which consists of 10 different Categories of Objects. This Project has achieved State-of-the-art Accuracy compared to other famous architecture like ResNet-50, DenseNet, SqueezeNet and others
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Adeel-Intizar/CIFAR-10-State-of-the-art-Model
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TensorFlow / keras Implementation of a new Architecture on CIFAR-10 Dataset
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