Attention (machine learning)

HOW IT IS BUILT The methods behind it Transformer (machine … Long Short-Term Memory Spectral graph theory Transformer (machine … WHAT IT CAN DO Its core abilities WHERE IT IS USED Sparse matrix A(L learns · reasons · acts
How it's built
What it can do
Where it's used

Attention in machine learning is a mechanism that allows artificial intelligence systems to focus on the most relevant pieces of information when processing data, similar to how humans selectively concentrate on important details in a complex scene. Rather than treating all input information equally, attention mecha…