WebFeb 8, 2024 · FitNets: Hints for Thin Deep Nets 原理与代码解析 00000cj 于 2024-02-08 20:52:23 发布 317 收藏 3 分类专栏: 知识蒸馏-分类 文章标签: 深度学习 神经网络 人工 … Web1.模型复杂度衡量. model size; Runtime Memory ; Number of computing operations; model size ; 就是模型的大小,我们一般使用参数量parameter来衡量,注意,它的单位是个。但是由于很多模型参数量太大,所以一般取一个更方便的单位:兆(M) 来衡量(M即为million,为10的6次方)。比如ResNet-152的参数量可以达到60 million = 0 ...
知识蒸馏综述:代码整理-技术圈
Web图 3 FitNets 蒸馏算法示意图. 最先成功将上述思想应用于 KD 中的是 FitNets [10] 算法,文中将教师的中间层输出特征定义为 Hints,以教师和学生特征图中对应位置的特征激活的差异为损失。 通常情况下,教师特征图的通道数大于学生通道数,二者无法完全对齐。 WebFitNets: Hints for Thin Deep Nets. While depth tends to improve network performances, it also makes gradient-based training more difficult since deeper networks tend to be more non-linear. The recently proposed knowledge distillation approach is aimed at obtaining small and fast-to-execute models, and it has shown that a student network could ... reach global music
系列论文阅读之知识蒸馏(二)《FitNets : Hints for Thin Deep …
WebJan 1, 1995 · In those cases, Ensemble of Deep Neural Networks [149] ... FitNets: Hints for Thin Deep Nets. December 2015. Adriana Romero; Nicolas Ballas; Samira Ebrahimi Kahou ... WebMay 18, 2024 · 3. FITNETS:Hints for Thin Deep Nets【ICLR2015】 动机. deep是DNN主要的功效来源,之前的工作都是用较浅的网络作为student net,这篇文章的主题是如何mimic一个更深但是比较小的网络。 方法 WebThe deeper we set the guided layer, the less flexibility we give to the network and, therefore, FitNets are more likely to suffer from over-regularization. In our case, we choose the hint … reach glory international limited