July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Backpropagation in LSTM
We compute the loss at each time step to determine how well our LSTM model is predicting the output. Say we use cross-entropy as a loss function, then the loss, 
, at time step 
is given by the following equation:
Here, 
is the actual output and is the predicted output at time step .
Our final loss is the sum of loss at all ...
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