ANN和SVM分类 [英] ANN and SVM classification

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本文介绍了ANN和SVM分类的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

在哪里 ANN 分类(回归),比 SVM 更好?一些真实世界的例子?

Where is ANN classification (regression) better than SVM? Some real-world examples?

推荐答案

有,他们是更好的,许多应用中,他们在那里他们差相媲美,许多应用程序许多应用程序。这也取决于谁你问的。这是很难说这种类型的数据或数据类型/应用。

There are many applications where they're better, many applications where they're comparable, many applications where they are worse. It also depends on who you ask. It is hard to say this type of data or that type of data/application.

ANN的地方,特别是卷积神经网络,工作比支持向量机更好的一个例子是在MNIST 数字分类。另外这种情况下是杰夫·辛顿的小组的工作使用Deep信念网络上的语音识别

An example where ANN, in particular convolutional neural networks, work better than SVMs would be digit classification on MNIST. Another such case is the work of Geoff Hinton's group on speech recognition using Deep Belief Networks

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