October 2018
Beginner
362 pages
9h 32m
English
In cases such as sentiment analysis, we are interested in a single and final hidden state for the network. We call this a many-to-one scenario. When we arrive at the last time step, we output a classification or some other value, represented in the computational graph by yt:

Many-to-one scenarios can also be used for tasks such as music genre labeling, where the network takes in notes and predicts a genre.
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