Neural Networks | Нейронные сети
11.6K subscribers
726 photos
163 videos
170 files
9.4K links
Все о машинном обучении

По всем вопросам - @notxxx1

№ 4959169263
Download Telegram
#graphNeuralNetworks #geometricDeepLearning #graphConvolutionalNetworks
Graph Theory Blink 10 (3 rules of geometric deep learning: locality, aggregation, and composition).

https://www.youtube.com/watch?v=NbxSzyTnLTQ

🎥 Graph Theory Blink 10 (3 rules of geometric deep learning: locality, aggregation, and composition).
👁 2 раз 3343 сек.
#graphNeuralNetworks #geometricDeepLearning #graphConvolutionalNetworks

Lecture 10 is a brief introduction to geometric deep learning: an exciting research field intersecting graph theory and and deep learning.

In this lecture, I cover the three fundamental rules driving the field of deep learning including:
1) Locality: “tell me who your neighbours are, I will tell you who you are”,
2) Aggregation: “how to integrate information or messages you get from your neighbour?”, and
3) Composition: “how deep you