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This project benchmarks machine learning models, including CNNs, DNNs, Logistic Regression, and SVMs, on the Fashion-MNIST dataset. It evaluates accuracy, F1 score, speed, and complexity, highlighting CNNs’ superior performance in image classification. The study provides insights for model selection in practical applications.

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sseshaheen/fashion-mnist-ml-experiments

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This project benchmarks machine learning models, including CNNs, DNNs, Logistic Regression, and SVMs, on the Fashion-MNIST dataset. It evaluates accuracy, F1 score, speed, and complexity, highlighting CNNs’ superior performance in image classification. The study provides insights for model selection in practical applications.

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