Deep learning project comparing CNN and MobileNetV2 for image classification on a small, imbalanced dataset. Covers preprocessing, augmentation, training, evaluation, and performance analysis. Tools: Python, TensorFlow, Keras, Scikit-learn, Matplotlib
imbalanced-data-handling cnn-and-mobilenetv2-modeling transfer-learning-and-fine-tuning image-preprocessing-and-augmentation model-training-and-regularization evaluation-with-classification-metrics
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Updated
May 26, 2025 - Jupyter Notebook