Kronecker-Factored Approximate Curvature: Making Second-Order Optimization Tractable at Scale
中文摘要
Kronecker-Factored Approximate Curvature (K-FAC) 实现了大规模机器学习中二阶优化的可行性。
English Summary
K-FAC makes second-order optimization tractable and scalable for large-scale machine learning.
原文节选
Day 5 of an ongoing daily series on advanced machine learning concepts Continue reading on Medium »