July 2018
Beginner to intermediate
312 pages
8h 31m
English
Content preview from Hands-On Natural Language Processing with Python
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Recurrent neural network
A recurrent neural network (RNN) can be used to train a model with a temporal dependence, such as language. It can be used to train any kind of sequence data. The output of a neuron is fed back into itself in an RNN. An RNN, when unrolled, looks as follows:
Due to its nature of taking input from previous time-steps, the data from a sequence that occurred long ago is lost.
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