Description
Graph Neural Network Neural graph training course, from graph display to complete mastery at the introductory level GNN , published by the popular Udemy Academy. In recent years, graph neural network (GNN) Due to its high expressive power and excellent performance, it has gained increasing popularity in various fields. Graph structures allow us to capture data with complex structures and relationships GNN This gives us the opportunity to study and model this complex data representation for tasks such as classification, clustering, link prediction, and robust representation. Considering that this is a relatively new concept and it will be hard to learn from conferences and articles, this course can help you..
This course provides complete introductory material for learning graph neural network, and by completing this course, you will have a good understanding of the subject in theory and in practice. In this training course, you will be taught both mathematical topics and how to code them in the Python programming language. Now if you want to start learning about graph neural networks (GNN) and models GNN in PyTorch Geometric implement; This course will be suitable for you and you can download and watch it from the Downloadly site.
Who is this course suitable for:
- Engineering graduate students
- Graduate students of computer science
- Data Scientists
- Python developers are interested in learning graph neural network
- Deep learning engineers
- Machine learning engineers
- Signal processing engineers
- People interested in learning neural networks
What you will learn in the Graph Neural Network course:
- Chart display tutorial
- Graph Neural Network (GNN)
- Chart analysis
- Graph Complexity Network (GCN)
- Graph attention network (GAT)
- Simplifying Graph Convolution (SGC)
- And …
Characteristics of the Graph Neural Network course:
Publisher: Yudmi
teacher: Younes Sadat-Nejad
English language
Training level: introductory to advanced
Number of courses: 26
Training duration: 4 hours and 29 minutes
Graph Neural Network course topics:
Course prerequisites:
-
Introductory background on machine learning and deep learning
-
Introductory background on signal processing and data analysis
Pictures
Graph Neural (GNN) course introduction video:
Installation guide
After extract, view with the required player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1.78 GB
Be the first to comment