/ResNet5M-CIFAR10

The main goal of this project is to come up with an architecture having the highest test accuracy on the CIFAR-10 image classification dataset, under the constraint that model has no more than 5 million parameters.

Primary LanguageJupyter NotebookMIT LicenseMIT

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