Download Simulation By Deep Neural Operator (DeepONets)

Simulation By Deep Neural Operator (DeepONets)

Description

Simulation By Deep Neural Operator (DeepONets), the simulation training course by Deep Neural Operator has been published by Yudemy Academy. This comprehensive course is designed to equip you with the skills to effectively use simulations by deep neural operators. We cover the fundamental concepts of solving partial differential equations (PDEs) and show how to implement a simulation code through the application of a deep operator network (DeepONet) using data generated by solving PDEs by the finite difference method (FDM). let’s make This comprehensive course provides a thorough understanding of machine learning and fundamental aspects of partial differential equations, PDEs, and simulation by deep neural operators using the Deep Operator Network (DeepONet).

What you will learn

  • Understand the theory behind deep neural operator equation solvers.
  • Construction of deep neural operator solver based on DeepONet.
    Build a deep neural operator code using DeepXDE.
  • Build a deep neural operator code using Pytorch.

Who is this course suitable for?

  • Engineers and programmers who want to learn simulation through a deep neural operator

Specifications of the course Simulation By Deep Neural Operator (DeepONets)

  • Publisher: Udemy
  • teacher : Dr. Mohammad Samara
  • English language
  • Education level: all levels
  • Number of courses: 36
  • Training duration: 8 hours and 28 minutes

Chapters of Simulation By Deep Neural Operator (DeepONets) course

Course prerequisites

  • High School Math
  • Basic Python knowledge

Pictures

Simulation By Deep Neural Operator (DeepONets)

Sample video

Installation guide

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Quality: 720p

download link

Download part 1 – 2 GB

Download part 2 – 2 GB

Download part 3 – 2 GB

Download part 4 – 2 GB

Download part 5 – 2 GB

Download part 6 – 1004 MB

File(s) password: www.downloadly.ir

Size

10.98 GB

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