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deep-learning-architecture

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This project showcases the implementation and comparison of Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) for image classification on the MNIST and Fashion MNIST datasets. It includes experiments with hyperparameter tuning, model evaluation through accuracy/loss plots, and confusion matrices.

  • Updated Sep 28, 2024
  • Jupyter Notebook

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