August 2019
Intermediate to advanced
242 pages
5h 45m
English
Content preview from Hands-On Deep Learning with Go
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Cost function
The cost function that we use with RNNs is cross-entropy loss. There is nothing special about its implementation for RNNs versus a simple binary classification task. Here, we are comparing the two probability distributions—one predicted, one expected. We calculate the error at each time step and sum them.
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