Hands-on Deep Learning for Materials

This tool introduces users to deep learning techniques such as convolutional neural networks and variational auto encoders from a materials standpoint

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Version 1.1 - published on 15 Jun 2020

doi:10.21981/MRN1-6764 cite this

Open source: license | download

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Usage

World usage

Location of all "Hands-on Deep Learning for Materials" Users Since Its Posting

Cumulative Simulation Users

4

4 4

Users By Organization Type
Type Users
Unidentified 4 (100%)
Users by Country of Residence
Country Users

Simulation Runs

16

16 16
Overview
Average Total
Wall Clock Time 35.17 minutes 4.69 hours
CPU time 1.08 minutes 8.64 minutes
Interaction Time 28.74 minutes 3.83 hours