WebApr 7, 2024 · Hinton G, Vinyals O, Dean J (2015) Distilling the knowledge in a neural network. arXiv:1503.02531. Romero A, Ballas N, Kahou S E, et al (2014) Fitnets: hints for thin deep nets. arXiv:1412.6550. Komodakis N, Zagoruyko S (2024) Paying more attention to attention: improving the performance of convolutional neural networks via attention …
FitNets: Hints for Thin Deep Nets DeepAI
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 ... WebSep 15, 2024 · Fitnets. In 2015 came FitNets: Hints for Thin Deep Nets (published at ICLR’15) FitNets add an additional term along with the KD loss. They take … graham tweed norfolk
蒸馏学习 FITNETS: HINTS FOR THIN DEEP NETS - 知乎 - 知乎专栏
WebDeep neural nets with a large number of parameters are very powerful machine learning systems. However, overfitting is a serious problem in such networks. Large networks are … WebNov 19, 2015 · Performance is evaluated on GoogLeNet, CaffeNet, FitNets and Residual nets and the state-of-the-art, or very close to it, is achieved on the MNIST, CIFAR-10/100 and ImageNet datasets. Layer-sequential unit-variance (LSUV) initialization - a simple method for weight initialization for deep net learning - is proposed. The method consists … WebDeep Residual Learning for Image Recognition基于深度残差学习的图像识别摘要1 引言(Introduction)2 相关工作(RelatedWork)3 Deep Residual Learning3.1 残差学习(Residual Learning)3.2 通过快捷方式进行恒等映射(Identity Mapping by Shortcuts)3.3 网络体系结构(Network Architectures)3.4 实现(Implementation)4 实验(Ex china invaded south korea