For questions related to non-Euclidean data, such as graphs or manifolds. Geometric deep learning is an application of deep learning to non-Euclidean data.
Questions tagged [non-euclidean-data]
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What is non-Euclidean data?
What is non-Euclidean data?
Here are some sub-questions
Where does this type of data arise? I have come across this term in the context of geometric deep learning and graph neural networks.
Apparently, graphs and manifolds are non-Euclidean data.…
nbro
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What exactly is a grid-like topology according to the book Deep Learning?
I am reading this book called "Deep Learning" (by Goodfellow, Bengio and Courville).
On page 326, in the first paragraph, it says:
CNNs, are a specialized kind of neural network for processing data that has a known grid-like topology. Examples…
Aether
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