/Modified-Resnet-For-CIFAR10

Modified Resnet For CIFAR10 implements a custom ResNet architecture for CIFAR-10 image classification, designed to maximize test accuracy while maintaining less than 5 million parameters. It showcases the exploration of various architectural choices, data augmentation techniques, and training methodologies.

Primary LanguageJupyter Notebook

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