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Tagged with long-range-dependence recurrent-neural-network
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Stacked RNN to overcome vanishing gradient
Let me clarify that with vanishing gradient i don't mean the gradient to become zero (like for DNN with multiple sigmoidal layers) but learning long term dependencies..
So, LSTM are well known that ...
1
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1
answer
360
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Simulating data with long range dependencies
I want to evaluate how well a recurrent neural network I've created captures long-range dependencies, and the effects altering the network have on this.
I'm not entirely sure how I would go about ...