Developed a PyTorch-based deep learning model achieving 99% accuracy on the Kaggle Medical MNIST dataset by integrating CNNs and Transformer blocks, showcasing significant potential for medical image classification.
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Developed a PyTorch-based deep learning model achieving 99% accuracy on the Kaggle Medical MNIST dataset by integrating CNNs and Transformer blocks, showcasing significant potential for medical image classification.
GXL911/V-Transformer-model
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Developed a PyTorch-based deep learning model achieving 99% accuracy on the Kaggle Medical MNIST dataset by integrating CNNs and Transformer blocks, showcasing significant potential for medical image classification.
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