Training MNIST benchmark with PyTorch

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 http://yann.lecun.com/exdb/mnist/ for more details.

29 5 - 1 Apr. 6, 2022, 8:00 PM

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Digital Object Identifier (DOI)

10.5281/zenodo.4344415 (2020-09-09T01:36UTC)
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