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Deep big simple neural nets excel on hand-written digit...

已有 2823 次阅读 2014-7-24 05:14 |个人分类:DL论文笔记|系统分类:论文交流| 神经网络, Learning, GPU, deep

2010_Deep big simple neural nets excel on hand-written digit recognition


首先看这篇文章:
2003_Best practice for convolutional neural networks applied to visual document analysis
这篇文章中心思想:

Expanding training set with elastic deformation and affine transformation


本文的中心思想是运用仿射变换和形变扩大数据集,然后运用GPU加速训练庞大的简单神经网络,从而获得比较好的结果。

实验结果:
结论:
1. convolutional network is better than MLP
2. Elastic deformations have a considerable impact on performance both for 2-layer MLP and convolutional network
3. Cross-entropy seems better and faster than mean square error(MSE)





https://blog.sciencenet.cn/blog-1583812-814176.html

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