GitHub repository: sudharsan-007/TPSNet
Description: In this project, we designed a novel ResNet architecture to maximize classification accuracy on the CIFAR-10 dataset while ensuring that the total number of parameters are less than 5M. We implement a random search approach for hyperparameter optimization. Our best performing architecture, TPSNet achieved a test accuracy of 94.84%.