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01-23-2022, 05:47 AM
Post: #1
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[GET] Graph Neural Networks (GNNs): Fundamentals and Applications
Graph Neural Networks (GNNs): Fundamentals and Applications
Learn to build deep Learning AI Graph Neural Networks: Basics, key concept and Code Implementations in StellarGraph and PyG Highest Rated Rating: 4.9 out of 5 (11 ratings) 2,810 students 1.5 hours on-demand video 10 articles 16 downloadable resources Description Graph AI carries immense potential for us to explore, connect the dots and build intelligent applications using the Internet of Behaviors (IoB). Many Graph Neural Networks achieved state-of-the-art results on both node and graph classification tasks. However, despite GNNs revolutionizing graph representation learning, there is limited understanding of their area to the students. The purpose of this course is to unfold the basics to the cutting-edge concepts and technologies in this realm. Graphs are all around us; real-world objects are often defined in terms of their connections to other things. A set of objects, and the connections between them, are naturally expressed as a Graph Neural Network (GCN). Recent developments have increased their capabilities and expressive power. They have profound applications in the realm of AI, fake news detection, traffic prediction to recommendation systems. This course explores and explains modern AI graph neural networks. In this course, we look at what kind of data is most naturally phrased as a graph, and some common examples. Then we explore what makes graphs different from other types of data, and some of the specialized choices we have to make when using graphs. We then build a modern GNN, walking through each of the parts of the model and gradually to state-of-the-art AI GNN models. Finally, we provide a GNN playground where you can play around with a real-world task and dataset to build a stronger intuition of how each component of an AI GNN model contributes to the predictions it makes. https://www.udemy.com/course/graph-ai-using-neural-networks-internet-of-behaviors-iob/?couponCode=JUNAID111 Enjoy! |
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03-11-2022, 01:26 PM
Post: #2
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RE: [GET] Graph Neural Networks (GNNs): Fundamentals and Applications
New Coupon:
Graph Neural Networks: Theory, codes and simulations for AI GNNs for Artificial Intelligence through 100 + Resources: Code Implementations in Python (StellarGraph and PyG) New Rating: 3.9 out of 5 (34 ratings) 4,087 students 2 hours on-demand video 15 articles 29 downloadable resources https://www.udemy.com/course/graph-ai-using-neural-networks-internet-of-behaviors-iob/?couponCode=JZ0001 Enjoy! |
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05-06-2022, 03:41 AM
Post: #3
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RE: [GET] Graph Neural Networks (GNNs): Fundamentals and Applications
New Coupon:
Graph Neural Networks: Theory, codes and simulations for AI GNNs, GNN Explainer and PyNeuraLogic through 100 + Resources: Code Implementations in Python (StellarGraph and PyG) Rating: 3.9 out of 5 (61 ratings) 6,550 students 2 hours on-demand video 15 articles 29 downloadable resources https://www.udemy.com/course/graph-ai-using-neural-networks-internet-of-behaviors-iob/?couponCode=447D24444 Enjoy! |
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