Commit f0c99bde authored by Luigi Sbailo's avatar Luigi Sbailo
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Update tutorials.json

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"title": "Hands-on tutorial: Regression using multilayer perceptrons",
"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-convolutional-nn",
"link": "https://nomad-lab.eu/prod/analytics/workshop/user-redirect/notebooks/tutorials/convolutional_nn.ipynb",
"link": "https://nomad-lab.eu/prod/analytics/workshop/user-redirect/notebooks/tutorials/nn_regression.ipynb",
"link_video" : "https://youtu.be/YBy9STVaqvU",
"updated": "2020-04-09",
"flags": {
......@@ -48,9 +48,9 @@
],
"email": "sbailo@fhi-berlin.mpg.de",
"title": "Exploratory analysis of octet-binary compounds ",
"description": "Exploratory analyses make use of unsupervised learning techniques to extract information from unknown datasets. In this tutorial, we make use of some of the most popular clustering and dimension reduction algorithms to analyze a dataset composed of 82 octet-binary compounds.",
"description": "Exploratory analyses make use of unsupervised learning techniques to extract information from unknown datasets. In this tutorial, we deploy some of the most popular clustering and dimension reduction algorithms to perform an exploratory analysis of a dataset composed of 82 octet-binary compounds.",
"url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-exploratory-analysis",
"link": "https://nomad-lab.eu/prod/analytics/workshop/user-redirect/notebooks/tutorials/exploratory_analysis_tutorial.ipynb",
"link": "https://nomad-lab.eu/prod/analytics/workshop/user-redirect/notebooks/tutorials/exploratory_analysis.ipynb",
"link_video" : "www.youtube.com",
"updated": "2021-01-04",
"flags": {
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