machine-learning - CNN or RNN which one should i use?
问题描述
I want to do my thesis about the diagnosis of heart attack. I have already known that CNN is the best for diagnosis. But one of my seniors, he recommended me to use RNN because in my case, I will use video files, moving files as an input dataset. But I have no idea about what RNN can do in diagnosis. Can anybody give me some ideas about it? Thank in advance.
解决方案
Despite the outstanding performance that Neural Networks have shown us over the last decade, they still have a big big limitation: they can’t understand the sequence, in which the current state is affected by its previous states. And Recurrent Neural Networks came out as a promising solution for that. So if you are working on video it's better to use RNN because RNN can remember previous states. But you can also take a look at "Long Short-term Memory (LSTM)" in some cases which you need to remember previous states LSTM works better.
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