A python container with tensorflow installed to run a Jupyter notebook to train a convolutional neural network to distinguish between different exchange models of inelastic neutron scattering data and to visualise the result using class activation maps. The code to do this is at: https://github.com/keeeto/interpretable-ml-neutron-spectroscopy
Content type
Image
Digest
Size
6.6 GB
Last updated
almost 6 years ago
docker pull mducle/ml_ins_interpret