# ResNet50 fine-tuning

A deep learning model fine-tuned based on ResNet-50 for ECG image classification, assisting in cardiac disease detection

A cat-dog image classification model fine-tuned based on microsoft/resnet-50, achieving 95% accuracy on the evaluation set

An image classification model fine-tuned based on the ResNet-50 architecture, specifically designed to distinguish between images of cats and dogs with an accuracy of 96.88%.

A ResNet-50 fine-tuned tomato leaf disease image classification model with 99.56% accuracy

A ResNet-50 fine-tuned image classification model for identifying 36 common fruits and vegetables