<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[yuconan]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/yuconan</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; yuconan]]></copyright><item><title><![CDATA[Keras: class weights (class_weight) for one-hot encoding]]></title><link>https://blog.youkuaiyun.com/yuconan/article/details/92184162</link><guid>https://blog.youkuaiyun.com/yuconan/article/details/92184162</guid><author>yuconan</author><pubDate>Sat, 15 Jun 2019 20:43:17 +0800</pubDate><description><![CDATA[问题:

I'd like to use class_weight argument in keras model.fit to handle the imbalanced training data. By looking at some documents, I understood we can pass a dictionary like this:


class_weight = {0...]]></description><category></category></item></channel></rss>