Built a CNN using PyTorch for cat-dog classification, achieving 83.86% accuracy. Implemented data augmentation, a custom Dataset class with error handling, Adam optimizer, BCELoss, CUDA acceleration, and visualized training metrics with Matplotlib.
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Built a CNN using PyTorch for cat-dog classification, achieving 83.86% accuracy. Implemented data augmentation, a custom Dataset class with error handling, Adam optimizer, BCELoss, CUDA acceleration, and visualized training metrics with Matplotlib.