July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Backpropagating through time
We just learned how forward propagation works in RNNs and how it predicts the output. Now, we compute the loss, 
, at each time step, 
, to determine how well the RNN has predicted the output. We use the cross-entropy loss as our loss function. The loss 
at a time step can be given as follows:
Here, is the actual output, ...
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