Researchers from University of Turin Describe Findings in Neural Networks and Learning Systems (Serene: Sensitivity-based Regularization of Neurons for Structured Sparsity In Neural Networks)

摘要

By a News Reporter-Staff News Editor at Network Daily News – A new study on Networks - Neural Networks and Learning Systems is now available. According to news reporting out of Turin, Italy, by NewsRx editors, research stated, “Deep neural networks include millions of learnable parameters, making their deployment over resource-constrained devices problematic. Sensitivity-based regularization of neurons (SeReNe) is a method for learning sparse topologies with a structure, exploiting neural sensitivity as a regularizer.”