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.
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.
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.
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.