Foundations of Geometric Deep Learning

Geometric deep learning is an umbrella term for emerging techniques attempting to generalize (structured) deep neural models to non-Euclidean domains such as graphs and manifolds.
Click the image to read the article

Find more #DSotD posts

Have an idea you would like to see featured here on the Data Science of the Day?