WebDec 19, 2014 · In this paper, we extend this idea to allow the training of a student that is deeper and thinner than the teacher, using not only the outputs but also the intermediate representations learned by the teacher as hints to improve the training process and final performance of the student. WebThe Ebb and Flow of Deep Learning: a Theory of Local Learning. In a physical neural system, where storage and processing are intertwined, the learning rules for adjusting synaptic weights can only depend on local variables, such as the activity of the pre- and post-synaptic neurons. ... FitNets: Hints for Thin Deep Nets, Adriana Romero, Nicolas ...
[论文速读][ICLR2015] FITNETS: HINTS FOR THIN DEEP NETS - 知乎
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 WebMay 29, 2024 · 最早采用这种模式的工作来自于自于论文:“FITNETS:Hints for Thin Deep Nets”,它强迫Student某些中间层的网络响应,要去逼近Teacher对应的中间层的网络响应。这种情况下,Teacher中间特征层的响应,就是传递给Student的暗知识。 peace lutheran church hartford
FitNets/README.md at master · adri-romsor/FitNets · GitHub
WebNov 25, 2024 · FITNETS: Hints For Thin Deep Nets论文初读 目录摘要引言方法 KD的回顾 提出基于Hint的训练方式(应该就是CL) 与CL训练的关系实验结果(挑选的有意思的)实验分析结论摘要不仅仅用到了输出,还用到了中间层作为监督信息让学生网络变得更深的同时,让它变的更快 ... Web通常,我们会进行两种方向的蒸馏,一种是from deep and large to shallow and small network,另一种是from ensembles of classifiers to individual classifier。 在2015年,Hinton等人 [2]首次提出神经网络中的知识蒸馏 (Knowledge Distillation, KD)技术/概念。 较前者的一些工作 [3-4],这是一个通用而简单的、不同的模型压缩技术。 WebKD training still suffers from the difficulty of optimizing deep nets (see Section 4.1). 2.2 H INT - BASED T RAINING In order to help the training of deep FitNets (deeper than their teacher), we ... peace lutheran church hayward wi