16,000 Computers Find a Cat On the Internet by Google
2012-06-27 11:21
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Google, Andrew Ng这两个超强关键词合作搞出的东西很是值得关注啊,目前还为报道太多的技术细节。大体方法是用16000台机器建了目前最大的神经网络,然后输如一千万Youtube上与cat相关的图片,训练神经网络的参数,进行猫的识别。学猫的模型只是个例子,这个模型应该推广到其他学习任务。
![](http://images.cnblogs.com/cnblogs_com/kuiyuan/cat.png)
![](http://images.cnblogs.com/cnblogs_com/kuiyuan/catE.png)
这个应该是这个模型检测出的猫,基本都是猫脸,也有不少误检。
通过模型挖掘大数据中的共性模式。
![](http://images.cnblogs.com/cnblogs_com/kuiyuan/cat.png)
![](http://images.cnblogs.com/cnblogs_com/kuiyuan/catE.png)
这个应该是这个模型检测出的猫,基本都是猫脸,也有不少误检。
通过模型挖掘大数据中的共性模式。
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