LMU
Legendre Memory Unit
2000년 도입 · 논문 9편에서 사용
The Legendre Memory Unit (LMU) is mathematically derived to orthogonalize its continuous-time history – doing so by solving d coupled ordinary differential equations (ODEs), whose phase space linearly maps onto sliding windows of time via the Legendre polynomials up to degree d-1. It is optimal for compressing temporal information. See paper for equations (markdown isn't working). Official github repo: https://github.com/abr/lmu
출처: Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
소개 논문: Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
Recurrent Neural Networks · Sequential