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Implementation of ViT (Vision Transformer) and LeNet from scratch using PyTorch for the MNIST classification task. Ran multiple experiments to understand the impact of dataset size, network depth, optimizer, learning rate, and batch size on model performance

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Implementation of ViT (Vision Transformer) and LeNet from scratch using PyTorch for the MNIST classification task. Ran multiple experiments to understand the impact of dataset size, network depth, optimizer, learning rate, and batch size on model performance

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