https://github.com/lucianoscarpaci/resnet18-evaluation-pytorch
This project demonstrates how to fine-tune a pre-trained ResNet18 model using PyTorch for binary classification. This model is adapted to identify images in two classes Positive and Negative.
https://github.com/lucianoscarpaci/resnet18-evaluation-pytorch
binary-classification data-preprocessing fine-tuning image-classification model-evaluation model-training neural-networks performance-metrics pre-trained-models pytorch resnet-18 transfer-learning
Last synced: about 2 months ago
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This project demonstrates how to fine-tune a pre-trained ResNet18 model using PyTorch for binary classification. This model is adapted to identify images in two classes Positive and Negative.
- Host: GitHub
- URL: https://github.com/lucianoscarpaci/resnet18-evaluation-pytorch
- Owner: lucianoscarpaci
- License: mit
- Created: 2024-12-29T20:58:01.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-29T21:18:41.000Z (over 1 year ago)
- Last Synced: 2025-10-25T08:38:37.373Z (9 months ago)
- Topics: binary-classification, data-preprocessing, fine-tuning, image-classification, model-evaluation, model-training, neural-networks, performance-metrics, pre-trained-models, pytorch, resnet-18, transfer-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 34.2 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE