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Training MNIST benchmark with PyTorch

Xinyu Liu

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<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Xinyu Liu</dc:creator>
  <dc:description>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.

MNIST is a database with 60,000 training images and 10,000 testing images that contains hand-written digits. Please see for more details.</dc:description>
  <dc:title>Training MNIST benchmark with PyTorch</dc:title>
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