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A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle.
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1
answer
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LSTMs - Carousel of Error
Is there any other materials that derives the LSTM back propagation and carousel of error except the original paper? (I could not understand it, sorry).
I tried deriving and got stuck, and asked the …
1
vote
1
answer
519
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Sequence Batching in RNNs
I'm wondering why sequence batching in RNNs's target value loops back (I'm not sure what you call it), but let's take for example:
We want to learn a sequence of numbers (our input) from 1 to 16:
$$ …
14
votes
1
answer
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Forget Layer in a Recurrent Neural Network (RNN) -
I'm trying to figure out the dimensions of each variables in an RNN in the forget layer, however, I'm not sure if I'm on the right track. …
8
votes
1
answer
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Need help understanding LSTMs' backpropagation and carousel of error
I'm having a hard time trying to derive the maths behind LSTMs and vanishing gradients.
I had a of help from LSTM forward and backward pass, but I got stuck in page 11 from LSTM forward and backward …