October 2017
Intermediate to advanced
330 pages
7h 7m
English
Until now, we've considered the information to flow in one direction through our network. However, sometimes it's beneficial to run the data through the network in both directions. We call such networks bidirectional RNNs. In the following example, we will implement the same LSTM network as we've implemented previously, but this time we will use a bidirectional RNN to classify the sentiment.
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