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cnn-pytorch

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FMNIST_CNN

This project is a convolutional neural network (CNN) built using PyTorch that classifies images from the Fashion-MNIST dataset. The network consists of several layers including convolutional layers, pooling layers, and fully connected layers. The model achieved an accuracy of 92.1%

  • Updated Aug 12, 2023
  • Jupyter Notebook

Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.

  • Updated Jun 24, 2022
  • Python

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