<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[aong4563的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/aong4563</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; aong4563]]></copyright><item><title><![CDATA[mtcnn]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566185</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566185</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:34:00 +0800</pubDate><description><![CDATA[待更

转载于:https://www.cnblogs.com/yunshangyue71/p/11543976.html]]></description><category></category></item><item><title><![CDATA[kears-添加层]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566183</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566183</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:33:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543968.html]]></description><category></category></item><item><title><![CDATA[tf dataset对象-如果样本一次载入]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566182</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566182</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:31:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543942.html]]></description><category></category></item><item><title><![CDATA[tf slim瘦身函数]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566180</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566180</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:30:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543937.html]]></description><category></category></item><item><title><![CDATA[tf队列]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566179</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566179</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:30:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543925.html]]></description><category></category></item><item><title><![CDATA[tf数据存储方式tfrecord]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566178</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566178</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:29:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543923.html]]></description><category></category></item><item><title><![CDATA[tf模型保存、载入]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566177</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566177</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:28:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543916.html]]></description><category></category></item><item><title><![CDATA[tf- tensorboard]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566175</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566175</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:27:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543904.html]]></description><category></category></item><item><title><![CDATA[tf数据输入和输出方式]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566174</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566174</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:26:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543892.html]]></description><category></category></item><item><title><![CDATA[多任务学习]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566037</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566037</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:25:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543879.html]]></description><category></category></item><item><title><![CDATA[迁移学习]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566173</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566173</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:24:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543873.html]]></description><category></category></item><item><title><![CDATA[深度学习-序列模型]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566171</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566171</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:22:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543849.html]]></description><category></category></item><item><title><![CDATA[卷积神经网络]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566169</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566169</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:20:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543831.html]]></description><category></category></item><item><title><![CDATA[深度学习优化函数优化函数]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566168</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566168</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:18:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543819.html]]></description><category></category></item><item><title><![CDATA[深度学习基础过拟合及其抑制]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566166</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566166</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:17:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543810.html]]></description><category></category></item><item><title><![CDATA[深度学习基础损失函数/代价函数]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566165</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566165</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:17:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543799.html]]></description><category></category></item><item><title><![CDATA[深度学习基础softmax-分类最后]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566164</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566164</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:16:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543793.html]]></description><category></category></item><item><title><![CDATA[BP算法，反向传播算法]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566163</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566163</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:15:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543787.html]]></description><category></category></item><item><title><![CDATA[深度学习基础 激活函数]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566162</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566162</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:13:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543769.html]]></description><category></category></item><item><title><![CDATA[深度学习基础-单层感知器]]></title><link>https://blog.youkuaiyun.com/aong4563/article/details/101566161</link><guid>https://blog.youkuaiyun.com/aong4563/article/details/101566161</guid><author>aong4563</author><pubDate>Wed, 18 Sep 2019 17:13:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/yunshangyue71/p/11543763.html]]></description><category></category></item></channel></rss>