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DeepONet.pdf

1910.03193.pdf
Preview of DeepONet
🔗 Source: arxiv.org
📊 Size: 740 KB
📄 Pages: 22 pages
⬇️ Downloads: 77

Summary

DeepONet learns nonlinear operators for identifying differential equations based on the universal approximation theorem of operators, using two sub-networks: a branch net for encoding input functions and a trunk net for encoding output function locations, achieving high-order error convergence and significantly reducing generalization error compared to fully-connected networks.

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Description

DeepONet learns nonlinear operators for identifying differential equations based on the universal approximation theorem of operators, using two sub-networks: a...

Technical Information

  • File Format: PDF
  • File Size: 740 KB
  • Pages: 22
  • Language: EN
  • Total Downloads: 77
  • Last Updated: 5 hours ago

Document Overview

This PDF document about DeepONet provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into DeepONet.

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DeepONet guideDeepONet tutorial

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You can download PDF versions of the user's guide, manuals and ebooks about DeepONet, you can also find and download for free A free online manual (notices) with beginner and intermediate, Downloads Documentation, You can download PDF files (or DOC and PPT) about DeepONet for free, but please respect copyrighted ebooks.