February 2019
Beginner to intermediate
308 pages
7h 42m
English
The LSTM layer takes as input the vector representation of the words from the word embedding layer, and learns how to classify the vector representation as positive or negative. As we've seen earlier, LSTMs are a variation of RNNs, which we can think of as multiple neural networks stacked on top of one another.
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