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
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.
Python