2017
Introspection:Accelerating Neural Network Training By Learning Weight Evolution
ICLR 2017poster
Neural Networks are function approximators that have achieved state-of-the-art accuracy in numerous machine learning tasks. In spite of their great success in terms of accuracy, their large training time makes it difficult to use them for various tasks. In this paper, we explore the idea of learning…