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Training MNIST benchmark with PyTorch

Xinyu Liu


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4344415", 
  "author": [
    {
      "family": "Xinyu Liu"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        9, 
        9
      ]
    ]
  }, 
  "abstract": "This notebook reproduces a simple benchmark experiment that trains a convolutional neural network based on the MNIST dataset. In particular, the neural network is built and trained with PyTorch.\n\nMNIST is a database with 60,000 training images and 10,000 testing images that contains hand-written digits. Please see http://yann.lecun.com/exdb/mnist/ for more details.", 
  "title": "Training MNIST benchmark with PyTorch", 
  "type": "article", 
  "id": "4344415"
}
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