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Commit 34a6949d authored by Luigi Sbailo's avatar Luigi Sbailo
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Update metainfo.json

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...@@ -8,8 +8,8 @@ ...@@ -8,8 +8,8 @@
"title": "Introduction to multilayer perceptrons (deep neural networks)", "title": "Introduction to multilayer perceptrons (deep neural networks)",
"description": "In this tutorial, we will use the ElemNet neural network architecture (https://github.com/NU-CUCIS/ElemNet) to predict the volume per atom of inorganic compounds, where the open quantum materials database (OQMD) is used as a resource (specifically, the data is taken from Ward et. al., npj Comput. Mater. 2, 16028 (2016)).", "description": "In this tutorial, we will use the ElemNet neural network architecture (https://github.com/NU-CUCIS/ElemNet) to predict the volume per atom of inorganic compounds, where the open quantum materials database (OQMD) is used as a resource (specifically, the data is taken from Ward et. al., npj Comput. Mater. 2, 16028 (2016)).",
"url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-tutorial-template", "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-tutorial-template",
"link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/{tutorial}.ipynb", "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/nn_regression.ipynb",
"link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/{tutorial}.ipynb", "link_public": "https://nomad-lab.eu/prod/analytics/public/user-redirect/notebooks/tutorials/nn_regression.ipynb",
"link_video": "https://www.youtube.com/watch?v=U0lI5n8Hleo", "link_video": "https://www.youtube.com/watch?v=U0lI5n8Hleo",
"updated": "2021-01-29", "updated": "2021-01-29",
"flags":{ "flags":{
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