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cnn-optimization

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DevDizzle / node-pruning-research

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Project exploring the impact of node pruning on CNN performance metrics within a stratified k-fold cross-validation framework. Focuses on optimizing recall for medical imaging tasks while analyzing trade-offs in precision and accuracy

deep-learning tensorflow keras performance-metrics medical-imaging cnn-optimization resnet50v2 model-recall node-pruning stratified-kfold research-experiment feature-optimization
  • Updated Nov 24, 2024
  • Jupyter Notebook

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