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Built multi-class image classification models on 14K+ nature images with 97% accuracy, leveraging transfer learning, hyperparameter tuning, and TensorFlow/Keras. Cross-validated on 3K unseen images to optimize EfficientNetB0 & ResNet performance.

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18rberry/USC-ML-Final-Project

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Built multi-class image classification models on 14K+ nature images with 97% accuracy, leveraging transfer learning, hyperparameter tuning, and TensorFlow/Keras. Cross-validated on 3K unseen images to optimize EfficientNetB0 & ResNet performance.

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