Graph Neural Networks: Theory, codes and simulations for AI

Graph Neural Networks: Theory, codes and simulations for AI

What you’ll learn

  • Fundamentals Graph AI using Internet of Behaviors
  • Basics and implementation of Graph Neural Networks
  • How to a create a Graph Neural Network, its training, optimization and testing
  • AI Graph feature learning and prediction using FastGCN, gated and mixed grain architectures.
  • How to derive an AI sub- graph from Graph Neural Networks
  • How create a Graph AI model?

How to Enroll Graph Neural Networks: Theory, codes and simulations for AI course?

  • To Access "Graph Neural Networks: Theory, codes and simulations for AI" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
  • If you're New to Udemy? Sign up with your email and create a password. for Existing users, log in with your credentials to access course.
  • How many members can access this course with a coupon?

    Graph Neural Networks: Theory, codes and simulations for AI Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

    External links may contain affiliate links, meaning we get a commission if you decide to make a purchase
    Deal Score0

    Learn Data Science. Courses starting at $12.99

    New customer offer! Top courses from $14.99 when you first visit Udemy

    eLearn
    Compare items
    • Total (0)
    Compare
    0