1.在不做任何额外假设的前提下,找到了一种更快速的OBS方法的实现,时间复杂度为O(drow⋅dcol3)其中dcol是权重矩阵的列数,这显然优于原始OBS大约为O(d4)的时间复杂度,其中d=drow×dcol,不像OBS每次移除参数后通过新样本进行增量式更新,而是用高斯消元法进行行列的消除 2.将剪枝和量化结合,仍然是通过二次优化...
The optimal brain surgeon (OBS) pruning procedure for automatic selection of the optimal neural network architecture was applied in multivariate calibration studies of two different near infrared data sets. These spectroscopic data sets were first pre-processed by using principal component analysis (PCA)...
Optimal Brain Surgeon公式推导 里面公式推导。理解GPTQ需要 对于一个训练好了的神经网络,误差E是神经网络参数w的函数,达到了一个局部极小值,即一阶导数为0. 假设w的当前值为w0 那么,把误差E在w0处泰勒展开 (1)E(w)=E(w0)+∂E∂w|w=w0(w−w0)+12(w−w0)TH(w−w0)+ο(‖w−w0‖3) ...
This repo is for Layer-wise Optimal Brain Surgeon (L-OBS), which will appear in NIPS 2017. Codes are based onTensorflowr1.0+ andPyTorchv0.3.0 Paper link:Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon News ...
摘要: In view of the high complexity of pruning algorithm for OBS (optimal brain surgery) process and the deficiency of its match usage with training algorithm, this paper presents a penalty OBS...关键词: neural network optimal brain surgeon procedure model conjugate gradient convergence network ...
Optimal Brain Damage (OBD) and Optimal Brain Surgeon (OBS) represent two popular pruning procedures; however, pruning large networks trained on voluminous data sets using these methods easily becomes intractable. We present a number of approximations and discuss practical issues in real-world pruning,...
罚项最优脑外科模型Levenberg-Marquardt方案泛化能力收敛性The penalty optimal brain surgeon (OBS) is a post-training algorithm and it has extreme high complexity.The OBS oriented compute model implemented neural network training and OBS pruning simultaneously,by taking the OBS pruning case as a penalty...
Optimal Brain Surgeon pruning
optimal brain surgeon proceduremodelconjugate gradientconvergencenetwork pruningIn view of the high complexity of pruning algorithm for OBS (optimal brain surgery) process and the deficiency of its match usage with training algorithm, this paper presents a penalty OBS......
A quasi-autoassociative network with Optimal Brain Surgeon ( OBS ) pruning method is suggested. The error analysis for the generalisation process as a function of the pruning process will be discussed. The possible hardware implementations of the neurocrrector will be proposed. 1. Introduction...