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 for more details.

13 1 Dec. 17, 2020, 5:45 p.m.


  • Xinyu Liu

Digital Object Identifier (DOI)


You cannot launch this artifact, as you do not have an active Chameleon allocation.