Reducing the Dimensionality of Data with Neural Networks

@article{Hinton2006ReducingTD,
  title={Reducing the Dimensionality of Data with Neural Networks},
  author={Geoffrey E. Hinton and Ruslan Salakhutdinov},
  journal={Science},
  year={2006},
  volume={313},
  pages={504 - 507}
}
High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network with a small central layer to reconstruct high-dimensional input vectors. Gradient descent can be used for fine-tuning the weights in such “autoencoder” networks, but this works well only if the initial weights are close to a good solution. We describe an effective way of initializing the weights that allows deep autoencoder networks to learn low-dimensional codes that work much better than… 

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References and Notes

our experimentation could eventually be used to discredit our findings, should they happen not to agree with the original observations. It seems important that all experiments in the rapidly

IL-13受体α2降低血吸虫病肉芽肿的炎症反应并延长宿主存活时间[英]/Mentink-Kane MM,Cheever AW,Thompson RW,et al//Proc Natl Acad Sci U S A

入侵病原体与宿主之间呈动态平衡,以维持病原体成功地寄生在宿主体内而不致宿主死亡,这是许多寄生虫感染的一个重要特征。包括曼氏血吸虫在内的许多蠕虫感染中,持续的炎症反应比病原体本身对宿主的危害更大,降低宿主的免疫反应具有重要意义。曼氏血吸虫感染后,宿主活化CD4^+Th2细胞,分泌IL-4、IL-5和IL-13。最近研究表明IL-13是肝组织纤维化的重要调节因子。