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Various models applied to Fashion Mnist Dataset for Denoising

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FashionMnistDenoise

This is a showcase of my work in the course Automatic Image Analysis at the Technical University Berlin for my Master's in Computer Science 2023. I applied a few different neural network structures to the FashionMnist dataset for a denoising task.Specifically, I have designed a ...

  • Base Model (a small Convolutional neural net in the classic sense)
  • Batch Norm Model (The base model with batch norm in addition)
  • Deeper Model (a deeper neural net with Batch Norm than the base model)
  • Residual Model (a neural net with residual connections)

Results

Original Images: results Noisy Images: results Reconstruced (Base Model): results Reconstructed (Batch Norm Model) results Reconstructed (Deeper Model) results Reconstructed (Residual Model) results

Train Results: results

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Various models applied to Fashion Mnist Dataset for Denoising

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