Comments (3)
为什超参数调节部门很少呢?其实对于这一部分是目前绝大多数人困惑,如何调节超参数这是一个非常工程和玄学的问题,希望作者可以增加一些技巧!我说说我的经验吧,对于超参数最重要的是学习率,其次是batchsize,卷积核的大小在绝大多数情况下要么3_3,要么1_1,训练的时候,有点先将基础网络固定在调节,有的一起调节,这个就是一个玄学问题,有的好有的很差,希望作者多放一些超参数调节技巧吧!谢谢坐着玩
恩恩,首先非常谢谢。超参数这部分,后期会做大量完善,您也可以整理内容添加到MD哈。可加微信tan_weixin88 谢谢
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另一方面 很多深度学习的工具都在革新 以后更多的会趋向于自适应和自动化
参数这东西 领会精神就好 切莫走火入魔
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第十四章
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