训练VGG-16需要多少个时期 [英] How many epochs does it take to train VGG-16

问题描述

我正在使用包含3k图像的数据集从头开始训练VGG-16模型.我在没有任何GPU的情况下使用Tensorflow平台和8 cpus.

I'm training a VGG-16 model from scratch using a dataset containing 3k images. I use Tensorflow platform and 8 cpus without any gpu.

培训率-0.01，

重量衰减-0.0005，

Weight decay - 0.0005,

动量-0.9，

批量大小-64，

我已经训练了大约三天.但是训练的准确性并没有改变，在20个时期后大约为15％-20％.有人可以给我一些提高准确性的提示吗?

I've kept training for about three days. But the training accuracy has been unchanged, around 15%-20% after 20 epochs. Could anyone give me some hints to improve the accuracy?

推荐答案

似乎我使用了太大的学习率.或体重减轻不能像预期的那样起作用.将超级参数更改为

It seems like I have used too large learning rate. Or weight decay does not work as it promises. After I changed my hyper parameters into,

培训率-0.001，

重量衰减-0，

动量-0.9，

批量大小-64.

一切都很好.现在，经过25个纪元后，我可以获得90％左右的准确度.仅供参考.

Eveything is good. Now I can get accuracy around 90 percent after 25 epochs. Just for your information.

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