File:Step-2 Live twinning.pdf

Summary

Description
English: Step 2: Digital twinning requires creating a Convolutional Neural Network (CNN) model in a cloud cluster that replicates a twin of a physical surrogate. This digital twin is constantly monitored, updated, and optimized with changes against the surrogate model using powerful deep learning algorithms in TensorFlow.
Date
Source Own work
Author ALL-iMOveO

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
Category:CC-BY-SA-4.0#Step-2%20Live%20twinning.pdf
Category:Self-published work Category:Engineering Category:Artificial intelligence Category:Deep learning Category:Convolutional neural networks Category:Data analysis Category:Cloud computing
Category:Artificial intelligence Category:CC-BY-SA-4.0 Category:Cloud computing Category:Convolutional neural networks Category:Data analysis Category:Deep learning Category:Engineering Category:Self-published work