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long-short term memory rnn limitation

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Long-Short Term Memory RNN limitations (and cool demos)? • /r/MachineLearning

#artificialintelligenceSep-16-2016, 15:35:51 GMT

I am planning on implementing an LSTM RNN on an FPGA as part of my research with a professor. I do not have formal ML training (but I have taken the Stanford-run Coursera course). It is my understanding that RNNs are used when dealing with sequences (such as text and audio), where history (past items) may provide some relevant context, and CNNs are generally used for image recognition. Is this a valid generalization, or are there other limitations as well? Are there examples of using RNNs to process images or use CNNs for some sequence?

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