From 72a7a77caf4fd1f1a2570b2f451c2cf0f9100a81 Mon Sep 17 00:00:00 2001 From: Andreas Leitherer <leitherer@fhi-berlin.mpg.de> Date: Thu, 16 Dec 2021 11:08:40 +0100 Subject: [PATCH] Update readme and metainfo, removed github and authors --- README.md | 2 +- metainfo.json | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index eb1c9d6..7d8ac28 100644 --- a/README.md +++ b/README.md @@ -1 +1 @@ -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)). +In this tutorial, we discuss how multilayer perceptrons, a standard neural-network architecture, can be employed for regression tasks. Specifically, we will use the ElemNet neural-network architecture to predict the volume per atom of inorganic compounds, where the Open Quantum Materials Database (OQMD) is used as a resource. diff --git a/metainfo.json b/metainfo.json index 3ecde6a..366e670 100644 --- a/metainfo.json +++ b/metainfo.json @@ -6,7 +6,7 @@ ], "email": "leitherer@fhi-berlin.mpg.de", "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 discuss how multilayer perceptrons, a standard neural-network architecture, can be employed for regression tasks. Specifically, we will use the ElemNet neural-network architecture to predict the volume per atom of inorganic compounds, where the Open Quantum Materials Database (OQMD) is used as a resource.", "notebook_name": "nn_regression.ipynb", "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-tutorial-template", "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/nn_regression.ipynb", -- GitLab